303 skills found · Page 1 of 11
microsoft / QlibQlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
tensorflow / Tensor2tensorLibrary of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
wanshuiyin / Auto Claude Code Research In SleepARIS ⚔️ (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 with Claude Code, Codex, OpenClaw, or any LLM agent.
deepchecks / DeepchecksDeepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
HenryNdubuaku / Maths Cs AI CompendiumBecome a cracked AI/ML Research Engineer
Lightning-Universe / Lightning BoltsToolbox of models, callbacks, and datasets for AI/ML researchers.
google-research / Dex LangResearch language for array processing in the Haskell/ML family
wangyongjie-ntu / Awesome Explainable AIA collection of research materials on explainable AI/ML
NPC-Worldwide / NpcpyThe python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
mlcommons / CkCollective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks
csinva / Csinva.github.ioSlides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Coder-World04 / ML AI Research Papers SolvedThis repository contains everything you need to become proficient in ML/AI Research and Research Papers
Curated-Awesome-Lists / Awesome Llms Fine TuningExplore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!
meta-pytorch / TorchxTorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
imteekay / Machine Learning Research✨ ML for Biology & Medicine Research
nuglifeleoji / Factor ResearchAdvanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).
torchsynth / TorchsynthA GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
anshaneja5 / Mldl.studyML & DL roadmap with curated resources like videos, articles, research-papers, competitions, projects etc.
kfl / MosmlMoscow ML is a light-weight implementation of Standard ML (SML), a strict functional language widely used in teaching and research.
mohitzsh / ML InterviewResources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
