GitHub Trending repo Aug 6

Dharanesh05/SemiRestore-AI: SemiRestore.AI is an enterprise deep-learning image restoration platform designed to eliminate heavy noise, reconstruct sharp micro-features, and compute quantitative yield metrics on scanning electron microscope (SEM) scans for sub-7nm photolithography, EUV masks, and silicon wafer dies.

SemiRestore.AI is an enterprise deep-learning image restoration platform designed to eliminate heavy noise, reconstruct sharp micro-features, and compute quantitative yield metrics...

GitHub Trending repo Aug 6

mithinsagar/xai-attack-defense-framework: Robustness analysis of post-hoc XAI explanations under adversarial perturbations — covering SHAP, LIME, and Integrated Gradients across phishing, intrusion detection, and fraud datasets, with four attack strategies and hybrid defense achieving 91.1% explanation drift reduction.

Robustness analysis of post-hoc XAI explanations under adversarial perturbations — covering SHAP, LIME, and Integrated Gradients across phishing, intrusion detection, and fraud dat...

GitHub Trending repo Aug 6

eternityspring/shuohao-skills: 给 AI 编码 agent 用的 skill 集合,Claude Code 和 codex 都能跑。novel-characters:把小说拆成角色设定集——人物画像、卡通形象提示词、音色提示词、三视图。 | Skills for AI coding agents, working in both Claude Code and codex. novel-characters turns a novel into a character bible: profiles, cartoon-design prompts, voice prompts and turnaround sheets.

给 AI 编码 agent 用的 skill 集合,Claude Code 和 codex 都能跑。novel-characters:把小说拆成角色设定集——人物画像、卡通形象提示词、音色提示词、三视图。 | Skills for AI coding agents, working in both Claude Code and codex. novel-c...

GitHub Trending repo Aug 6

Yangjingyuan-HK/lerobot-so101-policy-evaluation: LeRobot SO-101 robot arm policy evaluation and benchmarking. Testing and comparing reinforcement learning and imitation learning policies (PI0, VQ-BeT, ACT, Diffusion Policy, etc.) on the SO-101 robotic arm for real-world manipulation tasks.

LeRobot SO-101 robot arm policy evaluation and benchmarking. Testing and comparing reinforcement learning and imitation learning policies (PI0, VQ-BeT, ACT, Diffusion Policy, etc.)...