huggingface/acceleratePython
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
 (5,805 stars) (626 forks) (3 indexed issues) (3 open good first issues)
Repositories
huggingface repositories
Minimalist ML framework for Rust
 (19,476 stars) (1,440 forks) (5 indexed issues) (5 open good first issues)
huggingface/datasetsPython
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
 (18,313 stars) (2,496 forks) (5 indexed issues) (5 open good first issues)
huggingface/diffusersPython
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
 (22,190 stars) (4,562 forks) (18 indexed issues) (18 open good first issues)
huggingface/hmtlPython
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
 (1,176 stars) (148 forks) (0 indexed issues) (0 open good first issues)
huggingface/peftPython
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
 (12,235 stars) (1,051 forks) (1 indexed issue) (1 open good first issue)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
 (30,131 stars) (4,595 forks) (3 indexed issues) (3 open good first issues)
Large Language Model Text Generation Inference
 (6,460 stars) (696 forks) (0 indexed issues) (0 open good first issues)
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
 (5,605 stars) (473 forks) (0 indexed issues) (0 open good first issues)
🦄 State-of-the-Art Conversational AI with Transfer Learning
 (1,700 stars) (429 forks) (1 indexed issue) (1 open good first issue)
huggingface/transformersPython
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
 (160,624 stars) (33,212 forks) (0 indexed issues) (0 open good first issues)