repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/providers/summary_providers/primitive_summary_provider.py | src/providers/summary_providers/primitive_summary_provider.py | import numpy as np
import yaml
from utils.infer_higher_is_better import higher_is_better_from_metric_key, is_neutral_key
from .base.summary_provider_base import SummaryProviderBase
from ..path_provider import PathProvider
class PrimitiveSummaryProvider(SummaryProviderBase):
def __init__(self, path_provider: Path... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/providers/summary_providers/noop_summary_provider.py | src/providers/summary_providers/noop_summary_provider.py | from .base.summary_provider_base import SummaryProviderBase
class NoopSummaryProvider(SummaryProviderBase):
def __init__(self):
super().__init__()
self.summary = {}
def update(self, *args, **kwargs):
self.summary.update(*args, **kwargs)
def __setitem__(self, key, value):
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/providers/summary_providers/__init__.py | src/providers/summary_providers/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/providers/summary_providers/base/summary_provider_base.py | src/providers/summary_providers/base/summary_provider_base.py | import logging
class SummaryProviderBase:
def __init__(self):
self.logger = logging.getLogger(type(self).__name__)
def update(self, *args, **kwargs):
raise NotImplementedError
def __setitem__(self, key, value):
raise NotImplementedError
def __getitem__(self, key):
ra... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/providers/summary_providers/base/__init__.py | src/providers/summary_providers/base/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/__init__.py | src/modules/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/pdearena/conditional_twod_resnet.py | src/modules/pdearena/conditional_twod_resnet.py | # Adapted from https://github.com/microsoft/pdearena/blob/main/pdearena/modules/conditioned/twod_resnet.py
# Adaptions:
# - conditional embedding is passed to the model instead of creating a sincos timestep embedding within the model
# - remove last projection (handled by decoder)
# - removed explicit fp32 conversions
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/pdearena/__init__.py | src/modules/pdearena/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/graph/gnn_layer.py | src/modules/graph/gnn_layer.py | import torch
from torch import nn
from torch_geometric.nn.conv import MessagePassing
class GNNLayer(MessagePassing):
def __init__(self, input_dim, hidden_dim):
super().__init__()
self.message_net = nn.Sequential(
nn.Linear(2 * input_dim + 1, hidden_dim),
nn.SiLU(),
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/graph/__init__.py | src/modules/graph/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/graph/topk.py | src/modules/graph/topk.py | from typing import Callable, Optional, Union
import torch
from torch import Tensor
from torch_geometric.nn.inits import uniform
from torch_geometric.nn.pool.select import Select, SelectOutput
from torch_geometric.nn.resolver import activation_resolver
from torch_geometric.utils import cumsum, scatter
def topk(
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/graph/sag_pool.py | src/modules/graph/sag_pool.py | from typing import Callable, Optional, Tuple, Union
import torch
from torch import Tensor
from torch_geometric.nn import GraphConv
from torch_geometric.nn.pool.connect import FilterEdges
from .topk import SelectTopK
from torch_geometric.typing import OptTensor
class SAGPoolingFixedNumNodes(torch.nn.Module):
"""... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_gnn_pool.py | src/modules/gno/cfd_gnn_pool.py | from functools import partial
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias, init_truncnormal_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_geometric.nn.conv import MessagePassing
from modules.graph.sag_pool import SAGPoolingFixed... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_gino_mesh_to_grid.py | src/modules/gno/cfd_gino_mesh_to_grid.py | import einops
import numpy as np
import torch
from kappamodules.layers import ContinuousSincosEmbed, LinearProjection, Residual
from torch import nn
from torch_scatter import segment_csr
from kappamodules.init import init_xavier_uniform_zero_bias, init_truncnormal_zero_bias
class CfdGinoMeshToGrid(nn.Module):
def... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/gino_grid_to_mesh.py | src/modules/gno/gino_grid_to_mesh.py | import einops
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class GinoGridToMesh(nn.Module):
def __init__(
self,
input_dim,
hid... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_mesh_to_grid_sdf_og.py | src/modules/gno/rans_gino_mesh_to_grid_sdf_og.py | import einops
import numpy as np
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class RansGinoMeshToGridSdfOg(nn.Module):
def __init__(self, hidden_dim, output_dim,... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_posembed_message.py | src/modules/gno/rans_posembed_message.py | import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_geometric.nn.conv import MessagePassing
class RansPosembedMessage(MessagePassing):
def __init__(self, dim, ndim):
super().__init__(aggr=... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_gino_grid_to_mesh.py | src/modules/gno/cfd_gino_grid_to_mesh.py | import einops
import torch
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class CfdGinoGridToMesh(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim, ndim):
super().__init__()
self.input_dim = input_dim
self.hi... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_grid_to_mesh.py | src/modules/gno/rans_gino_grid_to_mesh.py | import einops
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class RansGinoGridToMesh(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim, ndim):
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_grid_to_mesh_og.py | src/modules/gno/rans_gino_grid_to_mesh_og.py | import einops
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class RansGinoGridToMeshOg(nn.Module):
def __init__(
self,
input_dim,
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_latent_to_mesh.py | src/modules/gno/rans_gino_latent_to_mesh.py | import einops
import torch
from torch_scatter import segment_csr
from .gino_grid_to_mesh import GinoGridToMesh
class RansGinoLatentToMesh(GinoGridToMesh):
# noinspection PyMethodOverriding
def forward(self, x, query_pos):
assert query_pos.ndim == 3
# convert to sparse tensor
_, seqle... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_mesh_to_grid_og.py | src/modules/gno/rans_gino_mesh_to_grid_og.py | import einops
import numpy as np
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class RansGinoMeshToGridOg(nn.Module):
def __init__(self, dim, resolution):
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_pool_gaussian_sincos_pos.py | src/modules/gno/cfd_pool_gaussian_sincos_pos.py | import einops
import numpy as np
import torch
from kappamodules.layers import ContinuousSincosEmbed, LinearProjection, Residual
from kappamodules.init import init_xavier_uniform_zero_bias, init_truncnormal_zero_bias
from torch import nn
from torch_scatter import segment_csr
class CfdPoolGaussianSincosPos(nn.Module):
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_mesh_to_grid.py | src/modules/gno/rans_gino_mesh_to_grid.py | import einops
import numpy as np
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class RansGinoMeshToGrid(nn.Module):
def __init__(self, dim, resolution):
su... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_gino_mesh_to_grid_old.py | src/modules/gno/cfd_gino_mesh_to_grid_old.py | import einops
import numpy as np
import torch
from kappamodules.layers import ContinuousSincosEmbed, LinearProjection, Residual
from torch import nn
from torch_scatter import segment_csr
class CfdGinoMeshToGridOld(nn.Module):
def __init__(self, input_dim, hidden_dim, resolution):
super().__init__()
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_gino_mesh_to_grid_sdf.py | src/modules/gno/rans_gino_mesh_to_grid_sdf.py | import einops
import numpy as np
import torch
from kappamodules.init.functional import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
class RansGinoMeshToGridSdf(nn.Module):
def __init__(self, dim, resolution):
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_pool.py | src/modules/gno/cfd_pool.py | import einops
import numpy as np
import torch
from kappamodules.layers import ContinuousSincosEmbed, LinearProjection, Residual
from kappamodules.init import init_xavier_uniform_zero_bias, init_truncnormal_zero_bias
from torch import nn
from torch_scatter import segment_csr
class CfdPool(nn.Module):
def __init__(... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/__init__.py | src/modules/gno/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_interpolate_grid_to_mesh.py | src/modules/gno/cfd_interpolate_grid_to_mesh.py | import einops
import torch
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_scatter import segment_csr
import torch.nn.functional as F
class CfdInterpolateGridToMesh(nn.Module):
@staticmethod
def forward(x, query_pos):
assert torch.all(query_pos.abs() <= 1)
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/rans_pool.py | src/modules/gno/rans_pool.py | import einops
import numpy as np
import torch
from kappamodules.layers import ContinuousSincosEmbed, LinearProjection, Residual
from kappamodules.init import init_xavier_uniform_zero_bias, init_truncnormal_zero_bias
from torch import nn
from torch_scatter import segment_csr
class RansPool(nn.Module):
def __init__... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/gno/cfd_interpolate_mesh_to_grid.py | src/modules/gno/cfd_interpolate_mesh_to_grid.py | import einops
import numpy as np
import torch
from kappamodules.layers import ContinuousSincosEmbed, LinearProjection, Residual
from torch import nn
from torch_scatter import segment_csr
from kappamodules.init import init_xavier_uniform_zero_bias, init_truncnormal_zero_bias
from torch_geometric.nn.unpool.knn_interpolat... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/mesh_embed/baseline_mesh_embed.py | src/modules/mesh_embed/baseline_mesh_embed.py | import einops
import torch
from kappamodules.init import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from modules.graph.gnn_layer import GNNLayer
class BaselineMeshEmbed(nn.Module):
def __init__(self, dim, depth, resolution, input_dim):
super()... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/mesh_embed/gnn_mesh_embed_v2.py | src/modules/mesh_embed/gnn_mesh_embed_v2.py | import torch
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_geometric.data import Data
from modules.graph.sag_pool import SAGPoolingFixedNumNodes
from modules.graph.gnn_layer import GNNLayer
class GNNMeshEmbedV2(torch.nn.Module):
def __init__(self, input_dim, gnn_dim, pool_... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/mesh_embed/gnn_mesh_embed.py | src/modules/mesh_embed/gnn_mesh_embed.py | import torch
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_geometric.data import Data
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.nn.pool import SAGPooling
from modules.graph.sag_pool import SAGPoolingFixedNumNodes
class GNNLayer(MessagePassing):
... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/mesh_embed/__init__.py | src/modules/mesh_embed/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/modules/mesh_embed/dummy_mesh_embed.py | src/modules/mesh_embed/dummy_mesh_embed.py | import math
import einops
import torch.nn.functional as F
from kappamodules.init import init_xavier_uniform_zero_bias
from kappamodules.layers import ContinuousSincosEmbed
from torch import nn
from torch_geometric.nn.pool import SAGPooling
import torch
class DummyMeshEmbed(nn.Module):
def __init__(self, in_feature... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/configs/wandb_config.py | src/configs/wandb_config.py | class WandbConfig:
MODES = ["disabled", "online", "offline"]
def __init__(self, mode: str, host: str = None, entity: str = None, project: str = None):
assert mode in self.MODES
self.mode = mode
if not self.is_disabled:
assert host is not None and isinstance(host, str), f"wan... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/configs/static_config.py | src/configs/static_config.py | import logging
import os
from pathlib import Path
from typing import Optional
import kappaconfig as kc
from distributed.config import is_distributed, is_managed, get_world_size, get_local_rank
from .wandb_config import WandbConfig
class StaticConfig:
def __init__(self, uri: str, datasets_were_preloaded: bool = ... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/configs/__init__.py | src/configs/__init__.py | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false | |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/src/configs/cli_args.py | src/configs/cli_args.py | import logging
from argparse import ArgumentParser
from dataclasses import dataclass
from pathlib import Path
from .wandb_config import WandbConfig
@dataclass
class CliArgs:
hp: str
accelerator: str
devices: str
num_workers: int
pin_memory: bool
wandb_mode: str
wandb_config: str
cudnn... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/data/shapenetcar/preprocess.py | data/shapenetcar/preprocess.py | # conda create --name open3d python=3.9
# pip install open3d
# pip install meshio
# pip install torch
# pip install tempfile
import os
import tempfile
from argparse import ArgumentParser
from pathlib import Path
import meshio
import numpy as np
import open3d as o3d
import torch
from tqdm import tqdm
def parse_args()... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/data/transientflow/MeshGenerator.py | data/transientflow/MeshGenerator.py | import gmsh
import math
import numpy as np
import random
import meshio
import argparse
def compute_centroid(points):
centroid = [sum(x for x, _ in points) / len(points), sum(y for _, y in points) / len(points)]
return centroid
def polar_angle(point,centroid):
x, y = point
angle = math.atan2(y - cent... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/data/transientflow/generateCase.py | data/transientflow/generateCase.py | import os
import argparse
import shutil
import random
import time
from tqdm import tqdm
import pickle
from fluidfoam import readscalar
from fluidfoam import readmesh
from fluidfoam import readvector
from sklearn.cluster import DBSCAN
import meshio
from shapely.geometry import Point,Polygon
import torch
import numpy as... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/data/transientflow/cfddataset_from_openfoam.py | data/transientflow/cfddataset_from_openfoam.py | import os
import pickle
import shutil
from argparse import ArgumentParser
from pathlib import Path
import torch
from torch.utils.data import Dataset, DataLoader
from tqdm import tqdm
def parse_args():
parser = ArgumentParser()
parser.add_argument("--src", type=str, required=True, help="/OpenFOAM/")
parse... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
ml-jku/UPT | https://github.com/ml-jku/UPT/blob/f148ef187973ef4958e8a5324c6692dd2582ad97/data/transientflow/cfddataset_norm.py | data/transientflow/cfddataset_norm.py | import os
from argparse import ArgumentParser
from pathlib import Path
import einops
import torch
from tqdm import tqdm
from torch.utils.data import Dataset, DataLoader
def parse_args():
parser = ArgumentParser()
parser.add_argument("--root", type=str, required=True, help="e.g. /system/user/publicdata/CVSim/... | python | MIT | f148ef187973ef4958e8a5324c6692dd2582ad97 | 2026-01-05T07:12:15.158856Z | false |
dhingratul/Stock-Price-Prediction | https://github.com/dhingratul/Stock-Price-Prediction/blob/940b95271f0befe13752dca7d82aa1f84ebf7137/src/helper.py | src/helper.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 10 12:45:51 2017
@author: dhingratul
"""
import numpy as np
import matplotlib.pyplot as plt
def normalize_windows(win_data):
""" Normalize a window
Input: Window Data
Output: Normalized Window
Note: Run from load_data()
Note... | python | MIT | 940b95271f0befe13752dca7d82aa1f84ebf7137 | 2026-01-05T07:12:22.817686Z | false |
dhingratul/Stock-Price-Prediction | https://github.com/dhingratul/Stock-Price-Prediction/blob/940b95271f0befe13752dca7d82aa1f84ebf7137/src/timeSeriesPredict.py | src/timeSeriesPredict.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 10 13:54:11 2017
@author: dhingratul
Predicts the next day (closing) stock prices for S&P 500 data using LSTM,
and 1D conv layer
"""
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
from keras.models ... | python | MIT | 940b95271f0befe13752dca7d82aa1f84ebf7137 | 2026-01-05T07:12:22.817686Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/train.py | train.py | from keras.callbacks import EarlyStopping, ModelCheckpoint, TensorBoard, LearningRateScheduler
from keras.optimizers import SGD, Adam
from keras.losses import squared_hinge
import os
import argparse
import keras.backend as K
from models.model_factory import build_model
from utils.config_utils import Config
from utils.... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/personal_config/__init__.py | personal_config/__init__.py | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false | |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/models/__init__.py | models/__init__.py | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false | |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/models/model_factory.py | models/model_factory.py | from keras.models import Sequential, Model
from keras import regularizers
from keras.layers import Reshape, Activation, Conv2D, Input, MaxPooling2D, BatchNormalization, Flatten, Dense, Lambda, concatenate
from keras.layers.advanced_activations import LeakyReLU
from keras.regularizers import l2
import numpy as np
from ... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/utils/load_data.py | utils/load_data.py | # Copyright 2017 Bert Moons
# This file is part of QNN.
# QNN is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# QNN is distributed i... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/utils/__init__.py | utils/__init__.py | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false | |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/utils/config_utils.py | utils/config_utils.py |
import warnings
def import_from(mdl, name):
mdl = __import__(mdl, fromlist=[name])
return getattr(mdl, name)
#required, default (if not required), type, subtype*(if previous type is list or tuple)
parameter_specs = {
'cpu' :[True, None, bool],
'epochs' :[True, ... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/layers/binary_layers.py | layers/binary_layers.py | # -*- coding: utf-8 -*-
import numpy as np
from keras import backend as K
from keras.layers import InputSpec, Layer, Dense, Conv2D
from keras import constraints
from keras import initializers
from binary_ops import binarize
class Clip(constraints.Constraint):
def __init__(self, min_value, max_value=None):
... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/layers/quantized_ops.py | layers/quantized_ops.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import keras.backend as K
import tensorflow as tf
import numpy as np
def round_through(x):
'''Element-wise rounding to the closest integer with full gradient propagation.
A trick from [Sergey Ioffe](http://stackoverflow.com/a/36480182)
'''
... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/layers/quantized_layers.py | layers/quantized_layers.py | # -*- coding: utf-8 -*-
import numpy as np
from keras import backend as K
from keras.layers import InputSpec, Layer, Dense, Conv2D
from keras import constraints
from keras import initializers
from quantized_ops import quantize, clip_through
class Clip(constraints.Constraint):
def __init__(self, min_value, max_... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/layers/binary_ops.py | layers/binary_ops.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import keras.backend as K
import tensorflow as tf
def round_through(x):
'''Element-wise rounding to the closest integer with full gradient propagation.
A trick from [Sergey Ioffe](http://stackoverflow.com/a/36480182)
'''
rounded = K.round... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/layers/__init__.py | layers/__init__.py | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false | |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/config/config_MNIST.py | config/config_MNIST.py | # test using cpu only
cpu = False
# type of network to be trained, can be bnn, full-bnn, qnn, full-qnn, tnn, full-tnn
network_type = 'full-qnn'
# bits can be None, 2, 4, 8 , whatever
bits=None
wbits = 4
abits = 4
# finetune an be false or true
finetune = False
dataset='MNIST'
dim=28
channels=1
classes=10
#regulariza... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/config/config_CIFAR-10.py | config/config_CIFAR-10.py | # test using cpu only
cpu = False
# type of network to be trained, can be bnn, full-bnn, qnn, full-qnn, tnn, full-tnn
network_type = 'full-qnn'
# bits can be None, 2, 4, 8 , whatever
bits=None
wbits = 4
abits = 4
# finetune an be false or true
finetune = False
dataset='CIFAR-10'
dim=32
channels=3
classes=10
#regular... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/config/config.py | config/config.py | # test using cpu only
cpu = False
# type of network to be trained, can be bnn, full-bnn, qnn, full-qnn, tnn, full-tnn
network_type = 'full-qnn'
# bits can be None, 2, 4, 8 , whatever
bits=None
wbits = 4
abits = 4
# finetune an be false or true
finetune = False
dataset='CIFAR-10'
dim=32
channels=3
classes=10
#regular... | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false |
BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow | https://github.com/BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow/blob/2eb9f8fbd4ce3c0160be95580c9bb452d7055538/config/__init__.py | config/__init__.py | python | BSD-3-Clause | 2eb9f8fbd4ce3c0160be95580c9bb452d7055538 | 2026-01-05T07:10:58.474336Z | false | |
Kozea/Flask-WeasyPrint | https://github.com/Kozea/Flask-WeasyPrint/blob/580e83d1a4d3ca2e51af417c5479acf9d7b80a60/tests/test_flask_weasyprint.py | tests/test_flask_weasyprint.py | """Tests for Flask-WeasyPrint."""
import pytest
from flask import Flask, json, jsonify, redirect, request
from flask_weasyprint import CSS, HTML, make_url_fetcher, render_pdf
from weasyprint import __version__ as weasyprint_version
from werkzeug.test import ClientRedirectError
from . import app, document_html
def t... | python | BSD-3-Clause | 580e83d1a4d3ca2e51af417c5479acf9d7b80a60 | 2026-01-05T07:12:27.148520Z | false |
Kozea/Flask-WeasyPrint | https://github.com/Kozea/Flask-WeasyPrint/blob/580e83d1a4d3ca2e51af417c5479acf9d7b80a60/tests/__init__.py | tests/__init__.py | """Demonstration and testing application for Flask-WeasyPrint."""
from flask import Flask, abort, redirect, render_template, request, url_for
from weasyprint import __version__ as weasyprint_version
# Disable the Flask’s default static file handling. (See below.)
app = Flask(__name__, static_folder=None)
# This is ... | python | BSD-3-Clause | 580e83d1a4d3ca2e51af417c5479acf9d7b80a60 | 2026-01-05T07:12:27.148520Z | false |
Kozea/Flask-WeasyPrint | https://github.com/Kozea/Flask-WeasyPrint/blob/580e83d1a4d3ca2e51af417c5479acf9d7b80a60/docs/conf.py | docs/conf.py | # Flask-WeasyPrint documentation build configuration file.
import flask_weasyprint
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = [
'sphinx.ext.autodoc', 'sphinx.ext.intersphinx',
'sphinx.ext.autose... | python | BSD-3-Clause | 580e83d1a4d3ca2e51af417c5479acf9d7b80a60 | 2026-01-05T07:12:27.148520Z | false |
Kozea/Flask-WeasyPrint | https://github.com/Kozea/Flask-WeasyPrint/blob/580e83d1a4d3ca2e51af417c5479acf9d7b80a60/flask_weasyprint/__init__.py | flask_weasyprint/__init__.py | """Make PDF in your Flask app with WeasyPrint."""
from io import BytesIO
from urllib.parse import urljoin, urlsplit
from flask import current_app, has_request_context, request, send_file
from werkzeug.test import Client, ClientRedirectError, EnvironBuilder
from werkzeug.wrappers import Response
VERSION = __version__... | python | BSD-3-Clause | 580e83d1a4d3ca2e51af417c5479acf9d7b80a60 | 2026-01-05T07:12:27.148520Z | false |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/tests/test_cli.py | tests/test_cli.py | """Tests for CLI argument parsing"""
from github_dependents_info.__main__ import app
from typer.testing import CliRunner
runner = CliRunner()
def test_cli_no_duplicate_param_warnings():
"""Test that help command doesn't show duplicate parameter warnings"""
result = runner.invoke(app, ["--help"])
assert ... | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | false |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/tests/__init__.py | tests/__init__.py | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | false | |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/tests/test_gh_dependents_info/test_gh_dependents_info.py | tests/test_gh_dependents_info/test_gh_dependents_info.py | """Tests for gh_dependents_info"""
import os
import tempfile
import uuid
from github_dependents_info import GithubDependentsInfo
SINGLE_PACKAGE_REPO = "nvuillam/npm-groovy-lint"
SINGLE_PACKAGE_TOTAL_DOC_URL = "https://nvuillam/npm-groovy-lint"
SINGLE_PACKAGE_REPO_PUBLIC_DEPENDENTS_MIN = 10
MULTI_PACKAGE_REPO = "nvui... | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | false |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/tests/test_gh_dependents_info/__init__.py | tests/test_gh_dependents_info/__init__.py | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | false | |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/github_dependents_info/gh_dependents_info.py | github_dependents_info/gh_dependents_info.py | import asyncio
import inspect
import json
import logging
import math
import os
import re
from collections import Counter
from pathlib import Path
import httpx
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
class GithubDependentsInfo:
def __init__(self, repo, **options) -> None:
self... | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | true |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/github_dependents_info/__main__.py | github_dependents_info/__main__.py | import logging
from typing import Annotated
import typer
from github_dependents_info import version
from github_dependents_info.gh_dependents_info import GithubDependentsInfo
from rich.console import Console
app = typer.Typer(
name="github-dependents-info",
help="""Collect information about dependencies betwe... | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | false |
nvuillam/github-dependents-info | https://github.com/nvuillam/github-dependents-info/blob/59a406df22d1f42803182c6f4da71e3efeeeb161/github_dependents_info/__init__.py | github_dependents_info/__init__.py | """
Collect information about dependencies between a github repo and other repositories.
Results available in JSON, markdown and badges.
"""
from importlib import metadata as importlib_metadata
from .gh_dependents_info import GithubDependentsInfo # noqa
def get_version() -> str:
try:
return importlib_m... | python | MIT | 59a406df22d1f42803182c6f4da71e3efeeeb161 | 2026-01-05T07:12:28.185048Z | false |
rodlaf/KalshiMarketMaker | https://github.com/rodlaf/KalshiMarketMaker/blob/8cd2cb26b6c4eaa3a4ab3ffeeb9683951439a42f/mm.py | mm.py | import abc
import time
from typing import Dict, List, Tuple
import requests
import logging
import uuid
import math
class AbstractTradingAPI(abc.ABC):
@abc.abstractmethod
def get_price(self) -> float:
pass
@abc.abstractmethod
def place_order(self, action: str, side: str, price: float, quantity:... | python | MIT | 8cd2cb26b6c4eaa3a4ab3ffeeb9683951439a42f | 2026-01-05T07:12:29.367532Z | false |
rodlaf/KalshiMarketMaker | https://github.com/rodlaf/KalshiMarketMaker/blob/8cd2cb26b6c4eaa3a4ab3ffeeb9683951439a42f/runner.py | runner.py | import argparse
import logging
from concurrent.futures import ThreadPoolExecutor
import yaml
from dotenv import load_dotenv
import os
from typing import Dict
from mm import KalshiTradingAPI, AvellanedaMarketMaker
def load_config(config_file):
with open(config_file, 'r') as f:
return yaml.safe_load(f)
def... | python | MIT | 8cd2cb26b6c4eaa3a4ab3ffeeb9683951439a42f | 2026-01-05T07:12:29.367532Z | false |
SmartLi8/stella | https://github.com/SmartLi8/stella/blob/8023dfa91ee2a74511e091902ceba5a3911cc610/run_train.py | run_train.py | # coding=utf8
import os
import logging
import yaml
import torch
from torch.utils.data import DataLoader
from os.path import join
from copy import deepcopy
from transformers import AutoTokenizer, AutoModel, BertModel
from transformers import TrainingArguments, Trainer
import shutil
os.environ["WANDB_DISABLED"] = "tru... | python | Apache-2.0 | 8023dfa91ee2a74511e091902ceba5a3911cc610 | 2026-01-05T07:12:29.713333Z | false |
SmartLi8/stella | https://github.com/SmartLi8/stella/blob/8023dfa91ee2a74511e091902ceba5a3911cc610/src/run_eval_stella.py | src/run_eval_stella.py | """ eval for stella model """
import numpy as np
import torch
import random
import argparse
import functools
from typing import List, Dict
from sentence_transformers import SentenceTransformer
from mteb import MTEB, DRESModel
from C_MTEB.tasks import *
parser = argparse.ArgumentParser(description='evaluation for CMTE... | python | Apache-2.0 | 8023dfa91ee2a74511e091902ceba5a3911cc610 | 2026-01-05T07:12:29.713333Z | false |
SmartLi8/stella | https://github.com/SmartLi8/stella/blob/8023dfa91ee2a74511e091902ceba5a3911cc610/src/utils.py | src/utils.py | # coding=utf8
from transformers import TrainingArguments
from transformers import TrainerCallback, TrainerControl, TrainerState
import torch
from os.path import join
def get_mean_params(model):
"""
:param model:
:return:Dict[para_name, para_weight]
"""
result = {}
for param_name, param in mo... | python | Apache-2.0 | 8023dfa91ee2a74511e091902ceba5a3911cc610 | 2026-01-05T07:12:29.713333Z | false |
SmartLi8/stella | https://github.com/SmartLi8/stella/blob/8023dfa91ee2a74511e091902ceba5a3911cc610/src/__init__.py | src/__init__.py | from .data_collator import (
InBatchDataSet,
in_batch_collate_fn,
PairDataSet,
pair_collate_fn,
comb_data_loader,
VecDataSet
)
from .utils import cosent_loss, get_mean_params, SaveModelCallBack
| python | Apache-2.0 | 8023dfa91ee2a74511e091902ceba5a3911cc610 | 2026-01-05T07:12:29.713333Z | false |
SmartLi8/stella | https://github.com/SmartLi8/stella/blob/8023dfa91ee2a74511e091902ceba5a3911cc610/src/data_collator.py | src/data_collator.py | # coding=utf8
import collections
import random
import torch
from torch.utils.data import Dataset
import json
from loguru import logger
class InBatchDataSet(Dataset):
def __init__(self, data_paths: str, data_name: str, model_name: str):
self.data = []
self.data_paths = data_paths
self.data_... | python | Apache-2.0 | 8023dfa91ee2a74511e091902ceba5a3911cc610 | 2026-01-05T07:12:29.713333Z | false |
SmartLi8/stella | https://github.com/SmartLi8/stella/blob/8023dfa91ee2a74511e091902ceba5a3911cc610/src/add_new_pos_embed.py | src/add_new_pos_embed.py | """
扩展当前BERT的长度，新扩展的emebdding用层次分解的位置编码进行初始化
"""
import torch
import json
import os
import shutil
if __name__ == "__main__":
read_dir = r"E:\PublicModels\piccolo-base-zh"
save_dir = r"E:\PublicModels\piccolo-base-zh-1024"
ori_pos = 512
new_pos = 1024
hp_alpha = 0.2
# 创建目录
os.makedirs(save_... | python | Apache-2.0 | 8023dfa91ee2a74511e091902ceba5a3911cc610 | 2026-01-05T07:12:29.713333Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/manage.py | abstract-base-user-example/manage.py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "hello_django.settings")
try:
from django.core.management import execute_from_command_line
except... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/views.py | abstract-base-user-example/users/views.py | from django.urls import reverse_lazy
from django.views import generic
from .forms import CustomUserCreationForm
class SignUp(generic.CreateView):
form_class = CustomUserCreationForm
success_url = reverse_lazy("login")
template_name = "signup.html"
| python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/admin.py | abstract-base-user-example/users/admin.py | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .forms import CustomUserCreationForm, CustomUserChangeForm
from .models import CustomUser
class CustomUserAdmin(UserAdmin):
add_form = CustomUserCreationForm
form = CustomUserChangeForm
model = CustomUser
list_displ... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/models.py | abstract-base-user-example/users/models.py | from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin
from django.db import models
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from .managers import CustomUserManager
class CustomUser(AbstractBaseUser, PermissionsMixin):
email = models.EmailField(_... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/managers.py | abstract-base-user-example/users/managers.py | from django.contrib.auth.base_user import BaseUserManager
from django.utils.translation import gettext_lazy as _
class CustomUserManager(BaseUserManager):
"""
Custom user model manager where email is the unique identifiers
for authentication instead of usernames.
"""
def create_user(self, email, p... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/__init__.py | abstract-base-user-example/users/__init__.py | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false | |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/tests.py | abstract-base-user-example/users/tests.py | from django.contrib.auth import get_user_model
from django.test import TestCase
class UsersManagersTests(TestCase):
def test_create_user(self):
User = get_user_model()
user = User.objects.create_user(email="normal@user.com", password="foo")
self.assertEqual(user.email, "normal@user.com")
... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/apps.py | abstract-base-user-example/users/apps.py | from django.apps import AppConfig
class UsersConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "users"
| python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/forms.py | abstract-base-user-example/users/forms.py | from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from .models import CustomUser
class CustomUserCreationForm(UserCreationForm):
class Meta:
model = CustomUser
fields = ("email",)
class CustomUserChangeForm(UserChangeForm):
class Meta:
model = CustomUser
... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/urls.py | abstract-base-user-example/users/urls.py | from django.urls import path
from . import views
urlpatterns = [path("signup/", views.SignUp.as_view(), name="signup"), ]
| python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/migrations/0001_initial.py | abstract-base-user-example/users/migrations/0001_initial.py | # Generated by Django 4.1.5 on 2023-01-21 21:10
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
("auth", "0012_alter_user_first_name_max_length"),
]
operations = [
migrations.CreateModel(
... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/users/migrations/__init__.py | abstract-base-user-example/users/migrations/__init__.py | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false | |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/hello_django/asgi.py | abstract-base-user-example/hello_django/asgi.py | """
ASGI config for hello_django project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/4.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault("DJANGO_... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/hello_django/settings.py | abstract-base-user-example/hello_django/settings.py | """
Django settings for hello_django project.
Generated by 'django-admin startproject' using Django 4.1.5.
For more information on this file, see
https://docs.djangoproject.com/en/4.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/4.1/ref/settings/
"""
from pa... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/hello_django/__init__.py | abstract-base-user-example/hello_django/__init__.py | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false | |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/hello_django/wsgi.py | abstract-base-user-example/hello_django/wsgi.py | """
WSGI config for hello_django project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/4.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-base-user-example/hello_django/urls.py | abstract-base-user-example/hello_django/urls.py | from django.contrib import admin
from django.urls import path, include
from django.views.generic.base import TemplateView
urlpatterns = [
path("", TemplateView.as_view(template_name="home.html"), name="home"),
path("admin/", admin.site.urls),
path("users/", include("users.urls")),
path("users/", includ... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
testdrivenio/django-custom-user-model | https://github.com/testdrivenio/django-custom-user-model/blob/1136e836d233d4c8d76564826d77a567d4482491/abstract-user-example/manage.py | abstract-user-example/manage.py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "hello_django.settings")
try:
from django.core.management import execute_from_command_line
except... | python | MIT | 1136e836d233d4c8d76564826d77a567d4482491 | 2026-01-05T07:12:30.363478Z | false |
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