Text-Summarization-Models

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

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

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.

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ? ? ??

A curated list for awesome kubernetes sources :ship::tada:

《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

Natural Language Processing Tutorial for Deep Learning Researchers

Storage Orchestration for Kubernetes

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

? 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.