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

👑 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.

The official Python client for the Huggingface Hub.

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

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

Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!

GPT4V-level open-source multi-modal model based on Llama3-8B

A treasure chest for visual classification and recognition powered by PaddlePaddle

Swift native on-device speech recognition with Whisper for Apple Silicon

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

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

Semantic segmentation models with pretrained backbones. PyTorch.

Deploy sensor fusion technology for an automated checkout that enables real-time insight about the products consumers are buying using the EdgeX Foundry* extensible framework.

Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.

🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.

This project demonstrates the use of various pre-trained models for transfer learning in NLP using TensorFlow Hub.

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

Library for handling atomistic graph datasets focusing on transformer-based implementations. It provides utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations.

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.