Stars
A general-purpose window upscaler for Windows 10/11.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
将优选IP推送到CF、阿里云、DNSpod、华为云DNS进行DNS解析，定期延时检测，web页面展示等
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adwa…
Codex skill for converting slide images, PDFs, and image-based PPTX files into editable PowerPoint decks.
The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero c…
customizing the GitHub contribution graph, allowing you to draw various patterns on it.在你的GitHub贡献历史上画画！
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
科研绘图skill、论文绘图skill、图片转visio等可编辑格式，将生成图转化为论文可编辑图，便于作者调整绘图细节
Code of ICLR paper Accurate Forgetting for Heterogeneous Federated Continual Learning
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustai…
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…
A generalist autonomous research agent — runs experiments, researches, and iteratively optimizes, autonomously.
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Class-Incremental Learning: A Survey (TPAMI 2024)
PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).
Agent-friendly CLI for academic paper, journal metric search and paper download
[TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning
[CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
Federated Optimization in Heterogeneous Networks (MLSys '20)