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[R] Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets
[D] How do you optimize SOTA time‑series models (PatchTST, TimesNet, etc.) for a fair comparison?
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best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
qlib
Qlib 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.
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
mindsdb
AI Analytics and Knowledge Engine for RAG over large-scale, heterogeneous data. - The only MCP Server you'll ever need
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.