Popular GitHub Repositories for Context Compression

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

? 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.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Build effective agents using Model Context Protocol and simple workflow patterns

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

The most reliable AI agent framework that supports MCP.

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

SwinIR: Image Restoration Using Swin Transformer (official repository)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A Streamlit-powered Chat Assistant utilizing Ollama's DeepSeek-R1 (1.5B) model for intelligent, context-aware conversations. Designed with an interactive chat interface, adjustable model parameters. It leverages Ollama for local model serving and Streamlit for a responsive UI for text-based interactions.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）