Awesome Opensource Ai

🤗 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.

Learn how to develop, deploy and iterate on production-grade ML applications.

💫 Industrial-strength Natural Language Processing (NLP) in Python

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Low-code framework for building custom LLMs, neural networks, and other AI models

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Open source annotation tool for machine learning practitioners.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Fast and Accurate ML in 3 Lines of Code

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

The official CLI and Python client for the Hugging Face Hub.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Synthetic data curation for post-training and structured data extraction