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💫 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
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
A collection of libraries to optimise AI model performances
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.