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Map Nintendo Ring-Con squeeze/pull to macOS keyboard input (Fn/Enter)
Claude Code 泄露客户端源码原始镜像（可直接运行）｜源码深度解析+ 架构拆解
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
An approach to utomatically generating browser environment with verifiable tasks
Official implementation for paper "Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents"
Machine Learning and Computer Vision Engineer - Technical Interview Questions
This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models".
No fortress, purely open ground. OpenManus is Coming.
A curated list of fellowships for graduate students in Computer Science and related fields.
MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
A simple yet powerful agent framework that delivers with open-source models
🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!
[ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
A Framework of Small-scale Large Multimodal Models
A Framework for Evaluating AI Agent Safety in Realistic Environments
A Benchmark for Anytime Person Re-Identification (AT-ReID), which aims to retrieve a person at any time, including both daytime and nighttime, ranging from short-term to long-term.
Official implementation of project Honeybee (CVPR 2024)
VQACL: A Novel Visual Question Answering Continual Learning Setting (CVPR'23)
Official Implementation for MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering
6th CLVISION workshop at ICCV 2025: repo for the challenge
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
A multi-voice TTS system trained with an emphasis on quality
The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021