Discover the Best Open-Source Pretrained-models Projects Sorted by Stars

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Deezer source separation library including pretrained models.

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

Segmentation models with pretrained backbones. PyTorch.

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Natural Language Processing Best Practices & Examples

An open source implementation of CLIP.

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

A treasure chest for visual classification and recognition powered by PaddlePaddle

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

The official repo of Qwen-7B (通义千问-7B) chat & pretrained large language model proposed by Alibaba Cloud.

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。