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Institute of Computing Technology, Chinese Academy of Sciences
- Beijing
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21:32
(UTC +08:00) - https://chriskuei.github.io
Highlights
- Pro
Stars
Retrieval and Retrieval-augmented LLMs
All-in-one & Easy-to-use. Integrate all your Xiaomi Smart Home - with a single integration and NO YAML files - into Home Assistant.
Installer for a generic Linux system
Reverse engineering and pentesting for Android applications
Source code for the paper "Empowering LLM to use Smartphone for Intelligent Task Automation"
A lightweight test input generator for Android. Similar to Monkey, but with more intelligence and cool features!
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curatio…
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A Comprehensive Benchmark for Code Information Retrieval.
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder
Export iMessage data + run iMessage Diagnostics
Experience macOS just like before
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
Cross-platform automation framework for all kinds of apps, built on top of the W3C WebDriver protocol
🚀 阿里通义千问2.5大模型逆向API白嫖测试【特长:六边形战士】,支持高速流式输出、无水印AI绘图、长文档解读、图像解析、多轮对话,零配置部署,多路token支持,自动清理会话痕迹。
Run Stable Diffusion on Mac natively
User-friendly WebUI for AI (Formerly Ollama WebUI)
GoMate:RAG Framework within Reliable input,Trusted output
Declarative statistical visualization library for Python
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.
The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk on RAG.
A Native-PyTorch Library for LLM Fine-tuning