🤗 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.
Repository Index
47,133 repositories indexed
1–24 of 76 · Most stars
AI agents running research on single-GPU nanochat training automatically
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Toolkit for linearizing PDFs for LLM datasets/training
Machine Learning Engineering Open Book
Ongoing research training transformer models at scale
Janus-Series: Unified Multimodal Understanding and Generation Models
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
The ultimate training toolkit for finetuning diffusion models
The official GitHub page for the survey paper "A Survey of Large Language Models".