JetBrains Maple Mono: The free and open-source font fused with JetBrains Mono & Maple Mono

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thre…

⭐️ A cross-platform CLI All-in-One assistant tool for Claude Code, Codex & Gemini CLI.

ARCHIVE — historical fork metadata for CCSwitchMulti. Active standalone repository: https://github.com/BigStrongSun/ccswitchmulti

体系化的机器人教学文档，涵盖数学基础、C++进阶、规划控制、SLAM等

Claude Code CLI 简体中文本地化 / 汉化插件；支持 macOS、Linux、WSL、Windows 与新版 native，一行安装，更新后自动修复。

Claude Desktop Chinese Patch (macOS & Windows)

Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat Work). Chat with your AI dev assistant f…

A git client based on the IntelliJ platform

Manage AppImages with ease 📦

MacOS style AppImage installer and management application

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io

Plugin to visualize CAN .dbs files in PlotJuggler

CAN bus analyzing and simulation GUI tool for Windows.

A powerful automotive ECU development tool. UDS, CAN-TP, DOIP, LIN , Script(TS) like CAPL, HIL Test

Open source CAN bus analyzer software - with support for CANable / CANable2 / USB2CANFDV1, CANFD, and other new features

ChatGPT & Gemini：Add Folders, Timeline & Prompts. - 为 ChatGPT & Gemini 添加文件夹、提示词库和时间轴。

Split-View Reader for Zotero

Arxiv个性化定制化模版，实现对特定领域的相关内容、作者与学术会议的有效跟进。

Automatically assign tags to papers with the help of LLM

The devkit of the nuPlan dataset.

A curated list of awesome header-only C++ libraries

Cpp implementation of various basic robotics algorithms

Some notes about reinforce learning, self-driving cars and leetcode

An elegant PyTorch deep reinforcement learning library.

Agent Learning Framework https://alf.readthedocs.io

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

Python logging made (stupidly) simple