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Hermes Agent 是目前开源社区最具潜力的 AI Agent 框架之一。它继承了 OpenClaw 的优秀基因，在架构设计、记忆系统、技能生态和自动化能力上实现全面升级。但 Hermes 的文档分散在多个仓库和平台，缺乏一本系统性的中文指南。 本书填补的正是这个空白。全书 16 册、30 万+ 字，覆盖从安装部署到高阶开发、从个人玩赚到企业服务、从单 Agent 操控到多 Agent…
The agent that grows with you
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…
🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
A topic-centric list of HQ open datasets.
Lossless Claw — LCM (Lossless Context Management) plugin for OpenClaw
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Towards Patch-based Noise Compression for Adversarial Attack against Transformer-based Visual Tracking
Learning Feature Interaction Alignment Network for Siamese Region Proposal Visual Tracking
Towards Adversarial Defense with Multi-stage Information Fusion for Visual Tracking
CSWin-UNet: Transformer UNet with cross-shaped windows for medical image segmentation
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine …
Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking
Lightweight real-time memory management application to monitor and clean system memory on your computer.
Introducing Hyper-Skin data with 2 types of data pairs: 1. (RGB, VIS), 2. (MSI, NIR)
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A LaTeX template for writting application to National Science Fund for Distinguished Young Scholars
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.