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[P]: Why & how I learnt ML

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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.

superset

Apache Superset is a Data Visualization and Data Exploration Platform

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

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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.

faiss

A library for efficient similarity search and clustering of dense vectors.

yfinance

Download market data from Yahoo! Finance's API