🤗 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.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
An open source implementation of CLIP.
🌸 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)
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
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
A treasure chest for visual classification and recognition powered by PaddlePaddle
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
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