repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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GreedyAC | GreedyAC-master/agent/nonlinear/SACDiscrete.py | #!/usr/bin/env python3
# Import modules
import os
from gym.spaces import Box
import torch
import numpy as np
import torch.nn.functional as F
from torch.optim import Adam
from agent.baseAgent import BaseAgent
import agent.nonlinear.nn_utils as nn_utils
from agent.nonlinear.policy.MLP import Softmax
from agent.nonlinear... | 13,490 | 36.475 | 79 | py |
GreedyAC | GreedyAC-master/agent/nonlinear/VAC.py | # Import modules
import torch
import inspect
from gym.spaces import Box, Discrete
import numpy as np
import torch.nn.functional as F
from torch.optim import Adam
from agent.baseAgent import BaseAgent
import agent.nonlinear.nn_utils as nn_utils
from agent.nonlinear.policy.MLP import Gaussian
from agent.nonlinear.value_f... | 10,808 | 38.021661 | 78 | py |
GreedyAC | GreedyAC-master/agent/nonlinear/nn_utils.py | # Import modules
import torch
import torch.nn as nn
import numpy as np
def weights_init_(layer, init="kaiming", activation="relu"):
"""
Initializes the weights for a fully connected layer of a neural network.
Parameters
----------
layer : torch.nn.Module
The layer to initialize
init : ... | 6,135 | 31.638298 | 79 | py |
GreedyAC | GreedyAC-master/agent/nonlinear/policy/MLP.py | # Import modules
import torch
import time
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Normal, Independent
from agent.nonlinear.nn_utils import weights_init_
# Global variables
EPSILON = 1e-6
class SquashedGaussian(nn.Module):
"""
Class SquashedGau... | 16,553 | 31.206226 | 79 | py |
GreedyAC | GreedyAC-master/agent/nonlinear/value_function/MLP.py | #!/usr/bin/env python3
# Import modules
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import agent.nonlinear.nn_utils as nn_utils
# Class definitions
class V(nn.Module):
"""
Class V is an MLP for estimating the state value function `v`.
"""
def __init__(self, n... | 8,998 | 30.798587 | 78 | py |
Vecchia_GPR_var_select | Vecchia_GPR_var_select-master/code/func/KISS_GP.py | import math
import torch
import gpytorch
import numpy
class GPRegressionModel(gpytorch.models.ExactGP):
def __init__(self, train_x, train_y, likelihood):
super(GPRegressionModel, self).__init__(train_x, train_y, likelihood)
# SKI requires a grid size hyperparameter. This util can help with that
... | 2,912 | 40.614286 | 108 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/startup_config.py | #!/usr/bin/env python
"""
startup_config
Startup configuration utilities
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import random
import numpy as np
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
def set_random_... | 1,549 | 25.271186 | 66 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/math_tools/stats.py | #!/usr/bin/env python
"""
stats.py
Tools to calcualte statistics
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
import core_scripts.other_tools.display as nii_display
import core_scripts.data_io.conf as nii_dconf
import torch
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.j... | 10,262 | 30.194529 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/other_tools/script_model_para.py | #!/usr/bin/env python
"""
A simple wrapper to show parameter of the model
Usage:
# go to the model directory, then
$: python script_model_para.py
We assume model.py and config.py are available in the project directory.
"""
from __future__ import print_function
import os
import sys
import numpy as np
import... | 1,902 | 29.206349 | 78 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/other_tools/debug.py | #!/usr/bin/env python
"""
debug.py
Tools to help debugging
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import datetime
import numpy as np
import torch
from core_scripts.data_io import io_tools as nii_io
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp... | 4,915 | 27.581395 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/other_tools/log_parser.py | #!/usr/bin/env python
"""
log_parser
tools to parse log_train and log_err
"""
from __future__ import absolute_import
from __future__ import print_function
import numpy as np
import os
import re
import sys
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
def f_read_... | 7,064 | 31.113636 | 96 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/wav_tools.py | #!/usr/bin/env python
"""
data_io
Interface to process waveforms.
Note that functions here are based on numpy, and they are intended to be used
before data are converted into torch tensors.
data on disk -> DataSet.__getitem__() -----> Collate ----> Pytorch model
numpy.tensor ... | 23,187 | 31.340307 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/wav_augmentation.py | #!/usr/bin/env python
"""
Functions for waveform augmentation.
Note that
1. functions here are based on numpy, and they are intended to be used
before data are converted into torch tensors.
data on disk -> DataSet.__getitem__() -----> Collate ----> Pytorch model
numpy.tensor ... | 23,456 | 29.463636 | 86 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/customize_dataset.py | #!/usr/bin/env python
"""
customized dataset
NII_MergeDataSetLoader (to one minibatch):
We want to load dataset 1, 2, and 3,
We also want to draw sample from each dataset for one minibatch.
One epoch over the merged datasets will be decided by the smallest dataset
"""
from __future__ import absolute_import
imp... | 23,353 | 37.665563 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/default_data_io.py | #!/usr/bin/env python
"""
data_io
Interface to load data
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
from inspect import signature
import torch
import torch.utils.data
import core_scripts.other_tools.list_tools as nii_list_tools
import core_scripts.other_tools.display as nii_w... | 79,969 | 42.39121 | 84 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/customize_sampler.py | #!/usr/bin/env python
"""
customized sampler
1. Block shuffler based on sequence length
Like BinnedLengthSampler in https://github.com/fatchord/WaveRNN
e.g., data length [1, 2, 3, 4, 5, 6] -> [3,1,2, 6,5,4] if block size =3
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
imp... | 2,994 | 30.861702 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/dsp_tools.py | #!/usr/bin/env python
"""
dsp_tools
Interface to process waveforms with DSP tools
Note that functions here are based on numpy, and they are intended to be used
before data are converted into torch tensors.
data on disk -> DataSet.__getitem__() -----> Collate ----> Pytorch model
numpy... | 32,385 | 31.680121 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/conf.py | #!/usr/bin/env python
"""
config.py
Configurations for data_io
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
import torch
import torch.utils.data
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
# ---------------------------
# N... | 1,383 | 21.688525 | 72 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/data_io/customize_collate_fn.py | #!/usr/bin/env python
"""
customize_collate_fn
Customized collate functions for DataLoader, based on
github.com/pytorch/pytorch/blob/master/torch/utils/data/_utils/collate.py
PyTorch is BSD-style licensed, as found in the LICENSE file.
"""
from __future__ import absolute_import
import os
import sys
import torch
im... | 11,034 | 36.662116 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/op_manager/lr_scheduler.py | #!/usr/bin/env python
"""
op_manager
A simple wrapper to create lr scheduler
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
import torch
import torch.optim as torch_optim
import torch.optim.lr_scheduler as torch_optim_steplr
import core_scripts.other_tools.display as nii_warn
__... | 4,244 | 29.106383 | 89 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/op_manager/op_manager.py | #!/usr/bin/env python
"""
op_manager
A simple wrapper to create optimizer
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
import torch
import torch.optim as torch_optim
import torch.optim.lr_scheduler as torch_optim_steplr
import core_scripts.other_tools.list_tools as nii_list_to... | 4,193 | 33.661157 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/nn_manager/nn_manager_GAN.py | #!/usr/bin/env python
"""
nn_manager_gan
A simple wrapper to run the training / testing process for GAN
"""
from __future__ import print_function
import time
import datetime
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import core_scripts.data_io.conf as nii_dconf
import co... | 27,182 | 39.211538 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/nn_manager/nn_manager_tools.py | #!/usr/bin/env python
"""
nn_manager
utilities used by nn_manager
"""
from __future__ import print_function
from collections import OrderedDict
import numpy as np
import torch
import core_scripts.other_tools.str_tools as nii_str_tk
import core_scripts.other_tools.display as nii_display
import core_scripts.nn_manage... | 20,331 | 33.815068 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/nn_manager/nn_manager.py | #!/usr/bin/env python
"""
nn_manager
A simple wrapper to run the training / testing process
"""
from __future__ import print_function
import time
import datetime
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import core_scripts.data_io.conf as nii_dconf
import core_scripts.d... | 32,606 | 39.606476 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/nn_manager/nn_manager_profile.py | #!/usr/bin/env python
"""
A trimmed version of nn_manager.py for profiling
This requires Pytorch-1.8
https://pytorch.org/tutorials/intermediate/tensorboard_profiler_tutorial.html
It requires a specific ../../sandbox/different_main/main_profile.py to run.
"""
from __future__ import print_function
import time
impor... | 25,076 | 38.931529 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/nn_manager/nn_manager_GAN_ob.py | #!/usr/bin/env python
"""
nn_manager_gan
A simple wrapper to run the training / testing process for GAN
"""
from __future__ import print_function
import time
import datetime
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import core_scripts.data_io.conf as nii_dconf
import co... | 24,536 | 38.009539 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/nn_manager/nn_manager_AL.py | #!/usr/bin/env python
"""
nn_manager_AL
A simple wrapper to run the training for active learning
Note:
1. The mode to continue to training does not guanrantee exactly
the same result because selection is based on random sampling. The
random seed for data selection differs.
"""
from __future__ import print_function... | 25,279 | 38.254658 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/core_scripts/config_parse/arg_parse.py | #!/usr/bin/env python
"""
config_parse
Argument parse
"""
from __future__ import absolute_import
import os
import sys
import argparse
import core_scripts.other_tools.list_tools as nii_list_tools
import core_scripts.other_tools.display as nii_display
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyrig... | 16,184 | 41.704485 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/util_loss_metric.py | #!/usr/bin/env python
"""
util_loss_metric
Loss functions or metrics
References
[1] Weitang Liu, Xiaoyun Wang, John Owens, and Yixuan Li.
Energy-Based Out-of-Distribution Detection.
In Proc. NIPS, 33:21464–21475. 2020.
[2] Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna,
Yonglong Tian, Phillip ... | 14,085 | 27.456566 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_nn.py | ##!/usr/bin/env python
"""
Common blocks for neural networks
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
from scipy import signal as scipy_signal
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import torch.nn.ini... | 61,631 | 36.172497 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_resnet_new.py | ##!/usr/bin/env python
"""
ResNet model
Modified based on https://github.com/joaomonteirof/e2e_antispoofing
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import torch... | 5,137 | 32.363636 | 104 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_attention.py | ##!/usr/bin/env python
"""
Blocks for attention mechanism
Implementation is based on https://github.com/soobinseo/Transformer-TTS.git,
but code is re-facotrized:
DotScaledAttention and MultiheadAttention are separated.
The former is the core attention softmax(QK^T/sqrt(d))V,
with optional mask to mask dummy query an... | 16,852 | 33.464213 | 81 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_wavenet.py | #!/usr/bin/env python
"""
model.py for WaveNet
version: 1
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import time
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import core_scripts.other_tools.debug as nii_debug
... | 23,685 | 34.887879 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/eval_asvspoof.py | #!/usr/bin/env python
"""
Functions for evaluation - asvspoof and related binary classification tasks
Python Function from min tDCF on asvspoof.org
All functions before tDCF_wrapper are licensed by Creative Commons.
----- License ----
This work is licensed under the Creative Commons
Attribution-NonCommercial-ShareAl... | 37,875 | 41.461883 | 167 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_dist.py | ##!/usr/bin/env python
"""
Module definition for distributions
Definition of distributions for generative models.
Each module should define two methods: forward and inference.
1. forward(input_feat, target): computes distribution given input_feat and
likelihood given target_data
2. inference(input_feat): computes di... | 4,823 | 31.16 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_resnet.py | ##!/usr/bin/env python
"""
ResNet model
Modified based on https://github.com/joaomonteirof/e2e_antispoofing
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
from scipy import signal as scipy_signal
import torch
import torch.nn as torch_nn
import torch.nn... | 6,982 | 33.399015 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_glow.py | #!/usr/bin/env python
"""
Building blocks for glow
"""
from __future__ import absolute_import
import os
import sys
import time
import numpy as np
import scipy.linalg
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import torch.nn.init as torch_init
import sandbox.block_nn as nii_... | 36,862 | 33.809254 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_nsf.py | ##!/usr/bin/env python
"""
Major blocks defined for NSF
These blocks are originall defined in ../project/01_nsf/*/.model.py
Definition are gathered here for convience.
CondModule, SourceModule, and FilterModule are not copied here since
they may change according to the model for certain application
"""
from __futur... | 13,906 | 37.311295 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/dist.py | #!/usr/bin/env python
"""
util_dist.py
Utilities for probabilistic distribution
Code adapted from
https://github.com/fatchord/WaveRNN/blob/master/utils/distribution.py
I haven't used these codes before.
To be moved to core_scripts/math_tools
"""
from __future__ import absolute_import
from __future__ import print_fu... | 5,244 | 32.196203 | 82 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_rawnet.py | #!/usr/bin/env python
"""
This file contains code for RawNet2
Hemlata Tak, Jose Patino, Massimiliano Todisco, Andreas Nautsch,
Nicholas Evans, and Anthony Larcher. End-to-End Anti-Spoofing with RawNet2.
In Proc. ICASSP, 6369--6373. 2020.
Implementation based on RawNet in
https://github.com/asvspoof-challenge/2021/
... | 13,819 | 31.28972 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/util_frontend.py | #!/usr/bin/env python
"""
util_frontend.py
Utilities for frontend feature extraction
It includes:
LFCC: based on asvspoof.org baseline matlab code
LFB: Linear filterbank feature
Chen, T., Kumar, A., Nagarsheth, P., Sivaraman, G. & Khoury, E.
Generalization of Audio Deepfake Detection. in Proc. Odyssey ... | 21,157 | 32.163009 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_waveglow.py | #!/usr/bin/env python
"""
Building blocks for waveglow
"""
from __future__ import absolute_import
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import torch.nn.init as torch_init
import sandbox.block_nn as nii_nn
import sandbox.block_wavenet as ni... | 42,401 | 35.711688 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/dynamic_prog.py | #!/usr/bin/env python
"""
Functions for dynamic programming
"""
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import core_scripts.other_tools.debug as nii_debug
__author__ = "Xin Wang"
__email__ = "wa... | 3,957 | 36.695238 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/block_blow.py | #!/usr/bin/env python
"""
Building blocks for Blow
Serra, J., Pascual, S. & Segura, C. Blow: a single-scale hyperconditioned flow
for non-parallel raw-audio voice conversion. in Proc. NIPS (2019).
Reference: https://github.com/joansj/blow
"""
from __future__ import absolute_import
import sys
import numpy as np
im... | 31,665 | 32.367756 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/util_bayesian.py | #!/usr/bin/env python
"""
util_bayesian.py
Utilities for bayeisan neural network
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn.functional as torch_nn_func
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
... | 4,124 | 26.684564 | 76 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/util_dsp.py | #!/usr/bin/env python
"""
util_dsp.py
Utilities for signal processing
MuLaw Code adapted from
https://github.com/fatchord/WaveRNN/blob/master/utils/distribution.py
DCT code adapted from
https://github.com/zh217/torch-dct
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
i... | 9,027 | 27.935897 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/util_music.py | #!/usr/bin/env python
"""
util_music.py
Utilities for music applications
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.dynamic_prog as nii_dy
__autho... | 10,763 | 32.742947 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/different_main/main_gan.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.data_io.default_data_io... | 9,039 | 35.16 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/different_main/temp.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import core_scripts.other_tools.debug as nii_d... | 17,431 | 36.010616 | 78 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/different_main/transfer_weight.py | #!/usr/bin/env python
"""
"""
from __future__ import absolute_import
import os
import sys
import copy
import torch
import importlib
import core_scripts.other_tools.display as nii_warn
import core_scripts.data_io.default_data_io as nii_default_dset
import core_scripts.data_io.customize_dataset as nii_dset
import core_s... | 2,922 | 31.120879 | 71 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/different_main/main_merge_datasets.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 9,342 | 35.928854 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/different_main/main_al.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper for active learning.
The base is on main_mergedataset.py
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import s... | 10,498 | 36.766187 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/sandbox/different_main/main_profile.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 7,827 | 35.924528 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/04-asvspoof2021-toy/lfcc-lcnn-lstm-sig_toy_example/main.py | #!/usr/bin/env python
"""
main.py
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.other_tools.display as nii_warn
import core_scripts.dat... | 6,501 | 34.530055 | 76 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/04-asvspoof2021-toy/lfcc-lcnn-lstm-sig_toy_example/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
import sandb... | 14,927 | 33.878505 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 7,862 | 35.915493 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/config_train_asvspoof2019.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage (although
this configuration will only be used for training)
"""
import os
__author__ = "Xin Wang"
__email__ = "wangxin@nii.a... | 3,561 | 30.803571 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/config_train_toyset.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage (although
this configuration will only be used for training)
"""
import os
__author__ = "Xin Wang"
__email__ = "wangxin@nii.a... | 4,915 | 31.556291 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-HuBERT-XL-fix-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 19,256 | 33.759928 | 91 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-Small-fix-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 19,249 | 33.747292 | 86 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-XLSR-fix-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 19,249 | 33.747292 | 86 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-XLSR-fix-LGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 18,117 | 33.120527 | 86 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-XLSR-ft-GF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 18,134 | 33.281664 | 88 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-XLSR-ft-LGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 17,771 | 32.851429 | 88 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-XLSR-ft-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 19,336 | 33.96745 | 88 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-Large2-fix-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 19,262 | 33.770758 | 93 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-XLSR-fix-GF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 18,028 | 33.210626 | 86 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-LFCC-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Adopted from OOD project.
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torchaudio
import torch.nn.functional as torch_nn_fun... | 18,598 | 34.29222 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/07-asvspoof-ssl/model-W2V-Large1-fix-LLGF/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
im... | 19,250 | 33.749097 | 86 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper for active learning.
The base is on main_mergedataset.py
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import s... | 10,498 | 36.766187 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/config_AL_train_toyset.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
import os
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2022, Xin Wang"
################... | 5,691 | 30.274725 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/model-AL-Adv/model.py | #!/usr/bin/env python
"""
model.py for Active learning model
This model.py consists of two parts:
1. A CM with SSL-based front-end and linear back-end.
The same model as 07-asvspoof-ssl/model-W2V-XLSR-ft-GF/model.py,
but the code is revised and simplified.
2. A function al_retrieve_data_knowing_train to select ... | 20,901 | 32.125198 | 79 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/model-AL-Rem/model.py | #!/usr/bin/env python
"""
model.py for Active learning model
This model.py consists of two parts:
1. A CM with SSL-based front-end and linear back-end.
The same model as 07-asvspoof-ssl/model-W2V-XLSR-ft-GF/model.py,
but the code is revised and simplified.
2. A function al_exclude_data to select data to be excl... | 19,868 | 31.518822 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/model-AL-PosE/model.py | #!/usr/bin/env python
"""
model.py for Active learning model
This model.py consists of two parts:
1. A CM with SSL-based front-end and linear back-end.
The same model as 07-asvspoof-ssl/model-W2V-XLSR-ft-GF/model.py,
but the code is revised and simplified.
2. A function al_retrieve_data to scoring the pool set ... | 19,133 | 31.651877 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/model-AL-NegE/model.py | #!/usr/bin/env python
"""
model.py for Active learning model
This model.py consists of two parts:
1. A CM with SSL-based front-end and linear back-end.
The same model as 07-asvspoof-ssl/model-W2V-XLSR-ft-GF/model.py,
but the code is revised and simplified.
2. A function al_retrieve_data to scoring the pool set ... | 19,138 | 31.66041 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/08-asvspoof-activelearn/model-AL-Pas/model.py | #!/usr/bin/env python
"""
model.py for Active learning model
This model.py consists of two parts:
1. A CM with SSL-based front-end and linear back-end.
The same model as 07-asvspoof-ssl/model-W2V-XLSR-ft-GF/model.py,
but the code is revised and simplified.
2. A function al_retrieve_data to scoring the pool set ... | 17,572 | 31.009107 | 78 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-ocsoftmax/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.other_tools.display as ... | 6,366 | 34.569832 | 74 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-ocsoftmax/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
import sandb... | 16,219 | 34.884956 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-ocsoftmax/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,226 | 29.733333 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-restnet-ocsoftmax/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.other_tools.display as ... | 6,366 | 34.569832 | 74 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-restnet-ocsoftmax/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
import sandb... | 13,524 | 33.414758 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-restnet-ocsoftmax/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,226 | 29.733333 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-a-softmax/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.other_tools.display as ... | 6,366 | 34.569832 | 74 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-a-softmax/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
import sandb... | 16,175 | 34.946667 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-a-softmax/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,226 | 29.733333 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-sigmoid/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.other_tools.display as ... | 6,366 | 34.569832 | 74 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-sigmoid/model.py | #!/usr/bin/env python
"""
model.py
Self defined model definition.
Usage:
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import sandbox.block_nn as nii_nn
import sandb... | 15,225 | 34.741784 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/02-asvspoof/lfcc-lcnn-sigmoid/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,226 | 29.733333 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-sinc-nsf-10/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 7,819 | 35.886792 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-sinc-nsf-10/model.py | #!/usr/bin/env python
"""
model.py for harmonic-plus-noise NSF with trainable sinc filter
version: 9
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import core_scripts.... | 40,407 | 38.810837 | 78 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-sinc-nsf-10/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,430 | 32.31068 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-nsf/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 7,819 | 35.886792 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-nsf/model.py | #!/usr/bin/env python
"""
model.py for harmonic-plus-noise NSF
version: 1
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import core_scripts.other_tools.debug as nii_debu... | 32,145 | 39.384422 | 78 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-nsf/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,430 | 32.31068 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/cyc-noise-nsf-4/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 7,819 | 35.886792 | 80 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/cyc-noise-nsf-4/model.py | #!/usr/bin/env python
"""
model.py for Cyclic-noise-NSF
version: 4
"""
from __future__ import absolute_import
from __future__ import print_function
import sys
import numpy as np
import torch
import torch.nn as torch_nn
import torch.nn.functional as torch_nn_func
import core_scripts.other_tools.debug as nii_debug
__... | 49,402 | 38.937753 | 77 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/cyc-noise-nsf-4/config.py | #!/usr/bin/env python
"""
config.py for project-NN-pytorch/projects
Usage:
For training, change Configuration for training stage
For inference, change Configuration for inference stage
"""
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
#########################... | 3,430 | 32.31068 | 75 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-sinc-nsf-hifigan/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The default training/inference process wrapper
Requires model.py and config.py
Usage: $: python main.py [options]
"""
from __future__ import absolute_import
import os
import sys
import torch
import importlib
import core_scripts.data_io.default_data_io... | 8,338 | 35.574561 | 79 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-sinc-nsf-hifigan/model.py | #!/usr/bin/env python
"""
model.py for hn-nsf + hifigan discriminator
HifiGAN part is adopted from https://github.com/jik876/hifi-gan
HiFi-GAN: Generative Adversarial Networks for Efficient and
High Fidelity Speech Synthesis
By Jungil Kong, Jaehyeon Kim, Jaekyoung Bae
"""
from __future__ import absolute_import
from ... | 48,552 | 37.170597 | 77 | py |
project-NN-Pytorch-scripts | project-NN-Pytorch-scripts-master/project/01-nsf/hn-sinc-nsf-9/main.py | #!/usr/bin/env python
"""
main.py for project-NN-pytorch/projects
The training/inference process wrapper.
Dataset API is replaced with NII_MergeDataSetLoader.
It is more convenient to train model on corpora stored in different directories.
Requires model.py and config.py (config_merge_datasets.py)
Usage: $: python ... | 7,819 | 35.886792 | 80 | py |
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