🤗 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.

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

Deezer source separation library including pretrained models.

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

An open source implementation of CLIP.

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

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

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

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

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

A PyTorch implementation of EfficientNet

CodeGeeX2: A More Powerful Multilingual Code Generation Model

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

a state-of-the-art-level open visual language model | 多模态预训练模型

Natural Language Processing Best Practices & Examples

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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

A treasure chest for visual classification and recognition powered by PaddlePaddle

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

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

Superduper: End-to-end framework for building custom AI applications and agents.

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

Chronos: Pretrained Models for Time Series Forecasting

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

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

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

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。

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

OpenMMLab Pre-training Toolbox and Benchmark

The official Python client for the Hugging Face Hub.