Home of the WebKit project, the browser engine used by Safari, Mail, App Store and many other applications on macOS, iOS and Linux.

Official implementation for paper "EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning".

Generate comprehensive PDFs of entire websites, ideal for RAG.

Free Windows Detector Software

Unofficial revival of the well known .NET debugger and assembly editor, dnSpy

Unpack any pkg application

微信小程序 wxapkg 包 源代码还原工具, 线上代码安全审计

WeChatOpenDevTool 微信小程序强制开启开发者工具

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

搜索真实文献并生成引用对应文献的AI论文

OCR, layout analysis, reading order, line detection in 90+ languages

Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

GPT based autonomous agent that does online comprehensive research on any given topic

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。

llama3 implementation one matrix multiplication at a time

Py4J enables Python programs to dynamically access arbitrary Java objects

JPype is cross language bridge to allow Python programs full access to Java class libraries.

Access Java classes from Python

Retrieval and Retrieval-augmented LLMs

free

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

This repository contains demos I made with the Transformers library by HuggingFace.

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…