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Reddit

[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.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

HAMi

Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)

transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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.