Stars
Research into how agentic AI coding assistants work — reconstructed prompt patterns, agent coordination, and security classification
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
A tool for parsing breached passwords
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Statistical analysis on how opening variations transpose into each other in pro games on Lichess
A dataset of high level chess games for training machine learning models.
resume any AI coding session in another tool — Claude Code, Copilot, Gemini, Codex, Cursor
A bridge between Lichess bots and chess engines
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows — particularly Claude Code
Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!
Collection of publicly available IPTV channels from all over the world
Dress Code: High-Resolution Multi-Category Virtual Try-On. ECCV 2022
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)
[CVPR 2024 Highlight] Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
Official Repository of "OmniTry: Virtual Try-On Anything without Masks"
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) …
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
[NeurIPS 2025] Official PyTorch implementation of "Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework."
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.