cembedd

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

A high-throughput and memory-efficient inference and serving engine for LLMs

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

This repository contains the Hugging Face Agents Course.

SGLang is a fast serving framework for large language models and vision language models.

《李宏毅深度学习教程》（李宏毅老师推荐?，苹果书?），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

kaldi-asr/kaldi is the official location of the Kaldi project.

Natural Language Processing Tutorial for Deep Learning Researchers

? 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, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

? Scalable embedding, reasoning, ranking for images and sentences with CLIP