Stars
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Fully open reproduction of DeepSeek-R1
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Train transformer language models with reinforcement learning.
Machine Learning Engineering Open Book
Image augmentation for machine learning experiments.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Style transfer, deep learning, feature transform
An elegant PyTorch deep reinforcement learning library.
abusing github commit history for the lulz
The official Python client for the Hugging Face Hub.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
The author's officially unofficial PyTorch BigGAN implementation.
Minimalistic large language model 3D-parallelism training
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
A lightweight, local-first, and 🆓 experiment tracking library from Hugging Face 🤗
A simple method to perform semi-supervised learning with limited data.
High throughput synchronous and asynchronous reinforcement learning
Fast, differentiable sorting and ranking in PyTorch
Scalable toolkit for efficient model alignment
An extension of the PyMARL codebase that includes additional algorithms and environment support
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Simple A3C implementation with pytorch + multiprocessing
A collection of multi agent environments based on OpenAI gym.
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
🎢 Creating and sharing simulation environments for embodied and synthetic data research