Starred repositories
Some testdatas for projects . json，geojson,tif ,csv, svg, xml, kmz, kml, mp4,mp3,topojson,glb,gltf,czml,shp etc.
如艺术一般优雅，像 1、2、3 一样简单，前后端通用，轻量却强大的 HTTP 客户端（同时支持 WebSocket 与 Stomp 协议）
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Andr…
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
🚀 Manifest Android Interview is the ultimate guide to cracking Android technical interviews.
Simple, safe way to store and distribute tensors
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
A Project Reactor CallAdapter.Factory implementation for Retrofit 2.
A Retrofit 2 Converter.Factory for Kotlin serialization.
A 2D canvas for rendering text, usually for console applications.
Build a StateFlow stream using Jetpack Compose
Run Kotlin/JS libraries in Kotlin/JVM and Kotlin/Native programs
Multiplatform reactive UI for Android, iOS, and web using Kotlin and Jetpack Compose
A logger with a small, extensible API which provides utility on top of Android's normal Log class.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Build multimodal language agents for fast prototype and production
This is a multi agent tutorial based on the CAMEL framework, aimed at understanding how to build an Agent Society from the ground up!
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A simple CLI to run LLM prompt and implement MCP client.
Model Context Protocol Servers