(NeurIPS 2025 🔥) Official implementation for "Efficient Multi-modal Large Language Models via Progressive Consistency Distillation"

[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration

This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (TPAMI))

[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Interactive Rust learning plugin for Claude Code with progression levels, quality gates, and an auto-mode that challenges you to implement real functions while building projects. Learn by doing, not watching.

🎓 Complete MCP (Model Context Protocol) Course - From Zero to Expert. Progressive learning with 8 modules, Docker containers, hands-on exercises, and production-ready examples. Learn to build AI agent integrations and understand the future of AI-human collaboration.

An AI-powered Chrome extension that provides progressive hints for Data Structures & Algorithms problems. Helps students learn problem-solving skills through intelligent guidance without giving away complete solutions. Features auto-detection for LeetCode/GeeksforGeeks, side panel interface, and Gemini 1.5 Flash API integration.

A novel deep learning framework that combines ImageNet pretraining with uncertainty-aware curriculum learning for robust multi-label chest X-ray classification. The key innovation is an adaptive sample weighting mechanism that progressively learns to trust uncertain labels through meta-learning, improving both classification performance and calibra

🤝 Enable seamless cooperation between AI and humans through a structured protocol for enhanced collaboration and productivity.