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imezx/JPSPlus	README.md	# JPSPlus JPSPlus is a high-performance 2D grid pathfinding library for Roblox based on Jump Point Search Plus (JPS+) algorithm. It preprocesses static maps to enable very fast A* queries by “jumping” between critical nodes while preserving optimal paths on uniform-cost grids. The Concept: Traditional...	368	readme	null
EgoMoose/rbx-viewport-window	README.md	# rbx-viewport-window Huge shout-out to [EmilyBendsSpace](https://x.com/EmilyBendsSpace) as their work is instrumental in ViewportWindows. ViewportWindow provides developers with the tools to use viewport frames much like you'd use a window in real life. You can look into them and see a different space that is contai...	246	readme	null
EgoMoose/rbx-wallstick	README.md	# rbx-wallstick A system for sticking characters to surfaces within Roblox. ### Videos https://github.com/user-attachments/assets/bd4efde2-9323-4db1-896c-6407263e458e https://github.com/user-attachments/assets/2a0478de-6e1f-4676-b778-9709b9e3f18f https://github.com/user-attachments/assets/c6d9a53d-f6c2-4924-9286-72...	120	readme	null
EgoMoose/rbx-bufferize	README.md	[bufferize/releases]: https://github.com/EgoMoose/rbx-bufferize/releases [bufferize/wally]: https://wally.run/package/egomoose/bufferize [badges/github]: https://raw.githubusercontent.com/gist/cxmeel/0dbc95191f239b631c3874f4ccf114e2/raw/github.svg [badges/wally]: https://raw.githubusercontent.com/gist/cxmeel/0dbc95191...	1,879	readme	null
AnotherSubatomo/RbxShader	README.md	# RbxShader A robust, simple, and performant fragment shader engine, for everyone. The shader engine can run virtually any shader program that operates on a per-pixel basis, just like those on [Shadertoy](https://www.shadertoy.com/). Porting these programs are relatively easy due to their code structuring being simila...	660	readme	null
Sleitnick/RbxObservers	README.md	# RbxObservers A collection of observer utility functions. ## Installation ### Wally Add `sleitnick/observers` to dependencies list: ```toml [package] name = "your_name/your_project" version = "0.1.0" registry = "https://github.com/UpliftGames/wally-index" realm = "shared" [dependencies] Observers = "sleitnick/obs...	168	readme	null
imezx/InfiniteMath	README.md	InfiniteMath is a module that allows you to surpass the double-precision floating-point number limit of `10^308`. Here's the [installation](https://kdudedev.github.io/InfiniteMath/docs/Installation) page, an in-depth [explanation](https://kdudedev.github.io/InfiniteMath/docs/Explanation) of the module, and API [docume...	253	readme	null
imezx/InfiniteMath	null	# What is this? InfiniteMath is a module that allows you to surpass the double-precision floating-point number limit which about: > -10^308 to 10^308 This is normally perfectly fine for games, but sometimes you might want to go past that limit, even just a little bit. InfiniteMath allows you to have practically infi...	676	documentation	https://kdudedev.github.io/InfiniteMath/docs/Explanation/
imezx/InfiniteMath	null	# Datastore Implementation InfiniteMath uses metatables, meaning numbers created using it can't be saved in a datastore. If you do save an InfiniteMath number in a datastore, it will lose its metamethods which means no operations, comparisons, etc. The solution is to recreate the number when loading it using `.new()`...	115	documentation	https://kdudedev.github.io/InfiniteMath/docs/Datastore/
Ultray-Studios/RBXConnectionManager	README.md	# RBXConnectionManager This is our first open-source release. Please add a ⭐ if you like the idea of this project or if you like to use it. Roblox Developer Forum Thread: https://devforum.roblox.com/t/3503750 Consider joining our community aswell! https://discord.gg/8ed3W53kHv/ to see progress on our very advanced p...	799	readme	null
Quamatic/rbxts-profile-store	README.md	# @rbxts/profile-store ## Installation: `npm i @rbxts/profile-store` ## Documentation See [MadStudioRoblox/ProfileStore](https://github.com/MadStudioRoblox/ProfileStore)	47	readme	null
Shiawaseu/RBLX-Whitelist	README.md	# RBLX-Whitelist Source repo for my series on writing secure Authentication systems in Roblox - To read the guide, visit my [website](https://shiawase.dev/blog/rblx-auth1) ## Flowchart Image Version ![flowchart](/assets/FlowchartDiagram.png) Mermaid (interactive) Version ```mermaid graph TD; A[User execute...	500	readme	null
Sleitnick/Knit	README.md	## :warning: No Longer Maintained :warning: Knit has been archived and will no longer receive updates. Please [read here](/ARCHIVAL.md) for more information. # Knit Knit is a lightweight framework for Roblox that simplifies communication between core parts of your game and seamlessly bridges the gap between the ser...	880	readme	null
imezx/Warp	README.md	# Warp # A rapidly-fast & powerful networking library. ## Why Warp ### ⚡ Performance Warp is rapidly-fast with much less bandwidth compared to native. ### 🍃 Compact Warp is a simple, efficient & lightweight library. ### 📊 Dynamic Warp is dynamic by default. It serializes and deserializes data dynamically without...	118	readme	null
imezx/Warp	null	# Warp 1.1 pre-release The public main of the Warp library. WARNING This version (1.1.x) is not backward compatible with 1.0.x. ## `.Server` server side Get the Server operation for server-side. lua -- Server local Server = Warp.Server() ## `.Client` client side Get the Client operation for clien...	135	documentation	https://imezx.github.io/Warp/api/1.1/warp
imezx/Warp	null	# Warp 1.0 deprecated The public main of the Warp library. ## `.Server` server side Create a new event for Server-Side lua -- Server local Event1 = Warp.Server("Event1") ## `.Client` client side Create a new event for Client-Side. lua -- Client local Event1 = Warp.Client("Event1")	85	documentation	https://imezx.github.io/Warp/api/1.0/warp
imezx/Warp	null	# Overview Warp is a powerful networking library for Roblox that comes with rapidly-fast performance and efficient with Typing to any-scale games. ## Why Warp ### ⚡ Performance Warp is rapidly-fast with much less bandwidth compared to native. ### 🍃 Compact Warp is a simple, efficient & lightweight librar...	127	documentation	https://imezx.github.io/Warp/guide/
imezx/Warp	null	# Buffer module For efficient data serialization and schema definition with optimized packing. ## Getting the Buffer Object lua local Buffer = Warp.Buffer ## Schema System v1.1 Define strict data schemas for optimized serialization and type safety. ### Available Schema Types lua -- Basic ty...	956	documentation	https://imezx.github.io/Warp/api/1.1/buffer
imezx/Warp	null	# Client 1.1 For Client-sided operations. ## Getting the Client Object lua local Client = Warp.Client() ## `.awaitReady` yield Yields the current thread until the client has successfully initialized and synchronized with the server's replication data (identifier). INFO Its optionally, but highly recom...	1,000	documentation	https://imezx.github.io/Warp/api/1.1/client
imezx/Warp	null	# Server 1.1 For Server-sided operations. ## Getting the Server Object lua local Server = Warp.Server() ## `.reg_namespaces` Register namespaces to ensure all of the namespaces is being registered earlier on the server to prevent any unexpected issues on the client. INFO this is optional and condition...	931	documentation	https://imezx.github.io/Warp/api/1.1/server
imezx/Warp	null	# Signal utilities A alternative of BindableEvent. ## `.Signal` Create new Signal. VariableExample luau ( Identifier: string ) luau local Signal1 = Warp.Signal("Signal1") ## `.fromSignalArray` Create new Signal. VariableExample luau ( { string } ) luau local ...	706	documentation	https://imezx.github.io/Warp/api/1.0/signal
imezx/Warp	null	# Rate Limit feature Ratelimit is one of most useful feature. ( Configured on Server only and For Client ) ## `Setup` When creating a event on Server, you can add second argument (optional) as table `rateLimit` to limit the number of times the event can be called and the interval for reset the counter on client...	223	documentation	https://imezx.github.io/Warp/api/1.0/ratelimit
imezx/Warp	null	# Server event For Server-sided ## `.Server` yield Create new Warp event. VariableExample luau ( Identifier: string, rateLimit: { maxEntrance: number?, interval: number?, }? ) luau local Remote = Warp.Server("Remote") ## `.fromServerArray` yield ...	795	documentation	https://imezx.github.io/Warp/api/1.0/server
imezx/Warp	null	# Client event For Client-sided ## `.Client` yield Create new Warp event. VariableExample luau ( Identifier: string ) luau local Remote = Warp.Client("Remote") ## `.fromClientArray` yield Create new Warp events with array. VariableExample luau ( { any } ) luau ...	558	documentation	https://imezx.github.io/Warp/api/1.0/client
imezx/Warp	null	# Getting Started 1.1 ### `Installation` First, you have to require the Warp module. lua local Warp = require(path.to.module) Then, you should do `.Server` or `.Client` lua local Server = Warp.Server() --> for Server-side only local Client = Warp.Client() --> for Client-side only ### `Basic Usag...	275	documentation	https://imezx.github.io/Warp/guide/getting-started
imezx/Warp	null	# Example 1.1 Let's try and play something with Warp! SchemasServerClient luau local Schema = require(path.to.warp).Buffer.Schema return { Example = Schema.array(Schema.string), Ping = Schema.string, Pong = Schema.string, PingAll = Schema.string, luau local Warp = re...	544	documentation	https://imezx.github.io/Warp/guide/example
imezx/Warp	null	# Installation ## wally wally.toml toml [dependencies] warp = "imezx/warp@1.1.0" ## pesde pesde.tomlcli toml [dependencies] warp = { name = "eternitydev/warp", version = "^1.1.0" } bash pesde add eternitydev/warp ## Roblox Studio 1. Get the `.rbxm` file from the [github](https:...	139	documentation	https://imezx.github.io/Warp/guide/installation
evaera/Cmdr	README.md	View Docs Cmdr is a fully extensible and type safe command console for Roblox developers. - Great for admin commands, but does much more. - Make commands that tie in specifically with your game systems. - Intelligent autocompletion and instant validation. - Run commands programmatically on behalf of the local use...	102	readme	null
evaera/Cmdr	null	## Integrates with your systems Make commands that integrate and control your existing systems. Use commands to help debug your game during development by triggering events in your game or print out targeted debug information. ## Type-Safe with Intelligent Auto-completion Discover commands and possible values for ar...	421	documentation	https://eryn.io/Cmdr/
evaera/Cmdr	null	# Dispatcher The Dispatcher handles parsing, validating, and evaluating commands. Exists on both client and server. ## Properties ### # `Cmdr` `Dispatcher.Cmdr: `````[Cmdr](https://eryn.io/Cmdr/api/Cmdr.html#cmdr) \| [CmdrClient](https://eryn.io/Cmdr/api/CmdrClient.html#cmdrclient)`````` A reference to Cmdr. This m...	538	documentation	https://eryn.io/Cmdr/api/Dispatcher.html
evaera/Cmdr	null	# # Hooks Hooks are callback functions that you can register which _hook_ into the command execution process. Hooks are extremely useful: they can be used for implementing a custom permission system, logging commands, or overriding command output. Hooks can be registered on both the server and the client. Server comm...	687	documentation	https://eryn.io/Cmdr/guide/Hooks.html
evaera/Cmdr	null	# # Network Event Handlers Some commands that run on the server might need to also do something on the client, or on every client. Network event handlers are callback functions that you can set to run when a server command sends a message back to the client. Only one handler can be set to a certain event at a time, so...	330	documentation	https://eryn.io/Cmdr/guide/NetworkEventHandlers.html
evaera/Cmdr	null	# # Types By default, these types are available: Type name \| Data type \| Type name \| Data type ---\|---\|---\|--- `string` \| `string` \| `strings` \| `array<string>` `number` \| `number` \| `numbers` \| `array<number>` `integer` \| `number` \| `integers` \| `array<number>` `boolean` \| `boolean` \| `booleans` \| `array<boolean>` `...	936	documentation	https://eryn.io/Cmdr/guide/Types.html
evaera/Cmdr	null	# Registry The registry handles registering commands, types, and hooks. Exists on both client and server. ## Types ### # `TypeDefinition` `interface ``TypeDefinition {`` DisplayName: `````string````` Optionally overrides the user-facing name of this type in the autocomplete menu. If omitted, the registered name o...	3,728	documentation	https://eryn.io/Cmdr/api/Registry.html
evaera/Cmdr	null	# # Meta-Commands The `bind`, `alias`, and `run` commands make use of _command strings_. A command string is raw text made up of a command name and possibly predefined arguments that is run in the background as a command itself. Before these command strings are run, they are preprocessed, replacing arguments (in the f...	1,108	documentation	https://eryn.io/Cmdr/guide/MetaCommands.html
evaera/Cmdr	null	# Cmdr server only ## Properties ### # `Registry` `Cmdr.Registry: `````[Registry](https://eryn.io/Cmdr/api/Registry.html#registry)`````` Refers to the current command Registry. ### # `Dispatcher` `Cmdr.Dispatcher: `````[Dispatcher](https://eryn.io/Cmdr/api/Dispatcher.html#dispatcher)`````` Refers to the current ...	211	documentation	https://eryn.io/Cmdr/api/Cmdr.html
evaera/Cmdr	null	# Util ## Types ### # `NamedObject` `interface ``NamedObject {`` Name: `````string````` Any object with a `Name` property. ## Static Functions ### # `MakeDictionary` static `Util.``MakeDictionary(array: ``array<T>``) → ``dictionary<T, true>````` Accepts an array and flips it into a dictionary, its values becom...	2,659	documentation	https://eryn.io/Cmdr/api/Util.html
evaera/Cmdr	null	# CmdrClient client only ↪ Extends [Cmdr](https://eryn.io/Cmdr/api/Cmdr.html) ## Properties ↪ Inherited from [Cmdr](https://eryn.io/Cmdr/api/Cmdr.html) ### # `Registry` `CmdrClient.Registry: `````[Registry](https://eryn.io/Cmdr/api/Registry.html#registry)`````` Refers to the current command Registry. ↪ Inherited...	1,063	documentation	https://eryn.io/Cmdr/api/CmdrClient.html
evaera/Cmdr	null	# # Set-up ### # Installation Pick one of the below methods to install Cmdr: #### # Manual You can download the latest model file release from the [releases section](https://github.com/evaera/Cmdr/releases/latest), but this may not always be the most up to date version of Cmdr. You'll want to put this is a server d...	628	documentation	https://eryn.io/Cmdr/guide/Setup.html
evaera/Cmdr	null	# # Commands No commands are registered by default. Cmdr ships with a set of default commands, which can be loaded if you so wish by calling `Cmdr:RegisterDefaultCommands()`. See Default Commands for a list. Custom commands are defined in ModuleScripts that return a single table. -- Teleport.lua, inside your com...	2,207	documentation	https://eryn.io/Cmdr/guide/Commands.html
evaera/Cmdr	null	# ArgumentContext ## Properties ### # `Command` `ArgumentContext.Command: `````[CommandContext](https://eryn.io/Cmdr/api/CommandContext.html#commandcontext)`````` The command that this argument belongs to. ### # `Name` `ArgumentContext.Name: `````string`````` The name of this argument. ### # `Type` `ArgumentCo...	449	documentation	https://eryn.io/Cmdr/api/ArgumentContext.html
evaera/Cmdr	null	# CommandContext ## Properties ### # `Cmdr` `CommandContext.Cmdr: `````[Cmdr](https://eryn.io/Cmdr/api/Cmdr.html#cmdr) \| [CmdrClient](https://eryn.io/Cmdr/api/CmdrClient.html#cmdrclient)`````` A reference to Cmdr. This may either be the server or client version of Cmdr depending on where the command is running. ##...	1,373	documentation	https://eryn.io/Cmdr/api/CommandContext.html
imezx/Gradien	README.md	DevForum: https://devforum.roblox.com/t/gradien-parallelized-machine-deep-learning/4055552 Wally: https://wally.run/package/imezx/gradien	42	readme	null
imezx/Gradien	null	🚀 ## Parallel-first Compute Heavy numeric operations (matrix multiplication, element-wise math) are dispatched to parallel threads, unlocking performance impossible in serial Luau.	34	documentation	https://imezx.github.io/Gradien/
imezx/Gradien	null	# Tensor Core The `Tensor` is the fundamental data structure in Gradien. It represents a multi-dimensional array and supports automatic differentiation. ## Constructors ### `.zeros` Parallel Creates a new tensor filled with zeros. Definition lua (shape: {number}, dtype: "f32"\|"f64"\|"i32"?, requiresGrad...	687	documentation	https://imezx.github.io/Gradien/api/core/tensor
imezx/Gradien	null	# Getting Started Welcome to Gradien. This guide will help you set up the library and train your first neural network. ## Installation ### `Method 1: Wally` Recommended If you use [Wally](https://wally.run/) for dependency management, add Gradien to your `wally.toml`. wally.tomlTerminal toml [depen...	611	documentation	https://imezx.github.io/Gradien/guide/getting-started
imezx/Gradien	null	# Math Operations Parallel Located in `Gradien.Ops.Math` and `Gradien.Ops.BLAS`. These operations are parallelized. ## Element-wise All element-wise operations support broadcasting semantics implicitly if implemented in the kernel. ### `.add` Definition lua (A: Tensor, B: Tensor) -> Tensor ### `.sub` ...	229	documentation	https://imezx.github.io/Gradien/api/core/math
imezx/Gradien	null	# Optimizers Optimization Gradien includes a wide variety of optimizers for different use cases. ## Adaptive Methods ### `Adam` Adaptive Moment Estimation. Good default. Supports L2 weight decay (applied to gradients). ConstructorExample lua (params: {Tensor}, lr: number, b1: num?, b2: num?, eps: num?,...	536	documentation	https://imezx.github.io/Gradien/api/optim/optimizers
imezx/Gradien	null	# Learning Rate Schedulers Utils Located in `Gradien.Optim.Schedulers`. These functions return a callback `(step) -> newLr`. ## Standard ### `step` Decays LR by `gamma` every `stepSize`. lua local sched = Schedulers.step(lr, 0.9, 100) ### `cosine` Cosine annealing from `lr` down to `lrMin` over `T` ...	293	documentation	https://imezx.github.io/Gradien/api/optim/schedulers
imezx/Gradien	null	# Loss Functions Parallel Located in `Gradien.NN.Losses`. Loss functions measure how far the model's predictions are from the targets. ## Regression ### `mse_backward` Mean Squared Error. Definition lua (pred: Tensor, target: Tensor) -> (number, Tensor) ### `l1_backward` Mean Absolute Error (L1). ...	331	documentation	https://imezx.github.io/Gradien/api/nn/losses
imezx/Gradien	null	# Mamba Implementation of the Mamba state space model architecture. ## MambaBlock Creates a Mamba block with selective scan mechanism. lua local MambaBlock = Gradien.Experimental.NN.MambaBlock -- Args: dModel, dState (default 16), dConv (default 4), expand (default 2) local block = MambaBlock(64, ...	210	documentation	https://imezx.github.io/Gradien/api/experimental/mamba
imezx/Gradien	null	# Data Pipeline Utils Tools for loading, scaling, and encoding data. Located in `Gradien.Preprocess`. ## Data Loading ### `DataLoader` Creates an iterator that yields batches of data from a dataset. Definition lua ( dataset: Dataset, batchSize: number, shuffle: boolean, ...	632	documentation	https://imezx.github.io/Gradien/api/utils/data
imezx/Gradien	null	# Gradient Clipping Parallel Located in `Gradien.GradClip`. Used to prevent exploding gradients, especially in RNNs or deep networks. ## Functions ### `.clipValue` Clips gradient values element-wise to be within `[-clip, clip]`. Definition lua (params: {Tensor}, clip: number) -> () ### `.clipNorm` ...	124	documentation	https://imezx.github.io/Gradien/api/optim/gradclip
imezx/Gradien	null	# Feudal Networks Implementation of Feudal Reinforcement Learning agent hierarchy. ## Feudal Agent Creates a hierarchical agent with Manager and Worker levels. lua local Feudal = Gradien.Experimental.RL.Feudal local agent = Feudal({ inputDim = 32, actionDim = 4, hiddenDim = 64,...	306	documentation	https://imezx.github.io/Gradien/api/experimental/feudal
imezx/Gradien	null	# Autograd (Tape) Core The `Tape` module records operations and manages the backward pass. ## Functions ### `.backwardFrom` Parallel Computes the gradient of current tensor w.r.t. graph leaves. DefinitionExample lua (y: Tensor, grad: Tensor) -> () lua Tape.backwardFrom(loss, Tensor.ones(loss._sha...	240	documentation	https://imezx.github.io/Gradien/api/core/autograd
imezx/Gradien	null	# State Management Important Since Roblox games rely on `DataStoreService` for persistence, Gradien provides utilities to serialize models and optimizers into simple tables that can be saved directly. ## Models ### Dumping Converts the model's parameters into a serializable Snapshot format. lua local sn...	434	documentation	https://imezx.github.io/Gradien/guide/state
imezx/Gradien	null	# Activations Parallel Activation functions introduce non-linearity to the network. Located in `Gradien.NN.Activations`. ## Standard Function\| Definition `ReLU(x)`\| `max(0, x)` `Sigmoid(x)`\| `1 / (1 + exp(-x))` `Tanh(x)`\| `(exp(x) - exp(-x)) / (exp(x) + exp(-x))` ## Probability ### `Softmax` C...	467	documentation	https://imezx.github.io/Gradien/api/nn/activations
imezx/Gradien	null	# Initializers Parallel Located in `Gradien.Init`. Functions to initialize tensor weights. Function\| Description `xavierUniform(W)`\| Uniform initialization for Sigmoid/Tanh layers. `kaimingUniform(W)`\| Uniform initialization for ReLU layers (He Init). `heUniform(W)`\| Alias for `kaimingUniform`. `heNormal(W)`\| Norma...	123	documentation	https://imezx.github.io/Gradien/api/nn/initializers
imezx/Gradien	null	# How to Create a Neural Network Tutorial This guide will walk you through creating, configuring, and training a simple model to learn a mathematical pattern. We will teach the model the function: `y = 2x`. ## 1. Require the Library Start by requiring the Gradien module. lua local Gradien = require(ga...	805	documentation	https://imezx.github.io/Gradien/guide/create-nn
imezx/Gradien	null	# Layers Module Layers are the building blocks of neural networks. They store learnable parameters (`weights` and `biases`). ## `NN.Linear` Applies a linear transformation to the incoming data: `y = x * W^T + b`. DefinitionExample lua ( inFeatures: number, outFeatures: number, init...	716	documentation	https://imezx.github.io/Gradien/api/nn/layers
imezx/Gradien	null	# Experimental Neural Networks Experimental Located in `Gradien.Experimental.NN`. These are experimental neural network architectures and layers. ## `KAN` (Kolmogorov-Arnold Network) A Kolmogorov-Arnold Network layer that uses learnable univariate functions (approximated via Radial Basis Functions) instead of fi...	319	documentation	https://imezx.github.io/Gradien/api/experimental/nn
imezx/Gradien	null	# QIMHNN Experimental Quantum-Inspired Metaheuristic Neural Network This module implements a neural network architecture inspired by quantum mechanics concepts (Superposition, Interference, and Entanglement) to potentially escape local minima and improve generalization. ## Constructor Located in `Gradien.Ex...	398	documentation	https://imezx.github.io/Gradien/api/experimental/qimhnn
imezx/Gradien	null	# Model Tools Utils Located in `Gradien.Util`. These tools help you inspect, profile, and modify models. ## `ModelStats` Utilities to calculate parameter counts and memory usage. ### `.summary` Prints or returns a summary of the model size. DefinitionExample lua (model: Module, printOut: boolean?) -> ...	470	documentation	https://imezx.github.io/Gradien/api/utils/model-tools
imezx/Gradien	null	# Debugging & Metrics Tools ## Metrics Parallel Located in `Gradien.Metrics`. * `accuracy(logits, targets)`: Returns classification accuracy (0.0 - 1.0). * `topk(logits, targets, k)`: Returns top-k accuracy. * `mse(pred, target)`: Mean Squared Error. * `prf1(pred, target, C)`: Returns Pre...	370	documentation	https://imezx.github.io/Gradien/api/utils/debug
imezx/Gradien	null	# RL Agents Module Gradien provides a unified API for Reinforcement Learning agents. ## Agent Types ### `DQL` & `DoubleDQN` Off-Policy Deep Q-Learning algorithms. `DoubleDQN` reduces overestimation bias. Config lua actionDim: number, batchSize: number, gamma: number, epsilon...	410	documentation	https://imezx.github.io/Gradien/api/rl/agents
imezx/Gradien	null	# The Trainer Loop Feature Writing custom training loops can be repetitive. The `Trainer` class abstracts the boilerplate of zeroing gradients, forward passes, loss calculation, backpropagation, and optimization steps. ## Basic Usage ConfigFit lua local trainer = Gradien.Trainer.new({ model = myMod...	368	documentation	https://imezx.github.io/Gradien/guide/trainer
imezx/Gradien	null	# Tokenizers The `Gradien.Tokenizers` module provides a comprehensive toolkit for text tokenization, inspired by the Hugging Face Tokenizers library. It supports Byte-Pair Encoding (BPE), normalization, pre-tokenization, and post-processing. ## Tokenizer Class The main entry point is the `Tokenizer` class, which...	794	documentation	https://imezx.github.io/Gradien/api/utils/tokenizers
imezx/Gradien	null	# Visualization Tools ## `Visual3D.render` Renders the neural network into the 3D workspace using Parts and Beams. DefinitionOptionsExample lua (model: Module, origin: CFrame, options: RenderOptions?) -> RenderHandle lua layerSizeHints: {number}?, maxNeuronsPerLayer: number?, maxB...	515	documentation	https://imezx.github.io/Gradien/api/utils/visualization
imezx/Gradien	null	# Core Concepts ## Tensors Core The `Tensor` is the fundamental data structure in Gradien. It is a multi-dimensional array that supports automatic differentiation and parallelized operations. ## Autograd (The Tape) Gradien uses a Tape-based autograd system. Operations on tensors that have `requiresGrad = ...	200	documentation	https://imezx.github.io/Gradien/guide/core-concepts
imezx/Gradien	null	# Porting PyTorch to Gradien Example This show you examples bridging PyTorch (running on a Python server) with Gradien (running on Roblox). This allows you to run massive models (LLMs, heavy RL policies) on a GPU and send the results to your Roblox game in real-time. dependenciesserverscriptmodelbridge bas...	1,628	documentation	https://imezx.github.io/Gradien/guide/porting-pytorch
imezx/Gradien	null	# Optimization Wrappers Advanced These modules wrap an existing optimizer (the "base") to add functionality like averaging or accumulation. ## `Lookahead` Improves stability by keeping a set of "slow weights" that interpolate with the "fast weights" trained by the base optimizer. ConstructorExample lua ( ...	346	documentation	https://imezx.github.io/Gradien/api/optim/wrappers
imezx/Gradien	null	# Experimental Optimizers Experimental Located in `Gradien.Experimental.Optim`. These optimizers use population-based metaheuristics rather than (or in addition to) standard backpropagation. ## `SwarmPSO` Particle Swarm Optimization. This is a gradient-free optimizer that maintains a swarm of model variation...	419	documentation	https://imezx.github.io/Gradien/api/experimental/optimizers
Sleitnick/RbxUtil	README.md	# RbxUtil \| Module \| Dependency \| Description \| \| -- \| -- \| -- \| \| [BufferUtil](https://sleitnick.github.io/RbxUtil/api/BufferUtil) \| `BufferUtil = "sleitnick/buffer-util@0.3.2"` \| Buffer utilities \| \| [Comm](https://sleitnick.github.io/RbxUtil/api/Comm) \| `Comm = "sleitnick/comm@1.0.1"` \| Comm library for remote comm...	1,360	readme	null

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