Lists (30)
AI
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compiler
- compiler - parser - transformer - linter - formatter - ast14 repositories
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渲染器
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Starred repositories
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
🚀 The fast, Pythonic way to build MCP servers and clients
The official TypeScript SDK for Model Context Protocol servers and clients
🥢像老乡鸡🐔那样做饭。主要部分于2024年完工，非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》，并做归纳、编辑与整理。CookLikeHOC.
AGENTS.md — a simple, open format for guiding coding agents
PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant refe…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Tesseract Open Source OCR Engine (main repository)
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
The headless rich text editor framework for web artisans.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
a state-of-the-art-level open visual language model | 多模态预训练模型
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.