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Is everyone ready for all of the totally legit AI tools & models being released tomorrow?
[D] I tested the best AI agents for data science & ML (March 2025) — here’s what I found
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best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
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.
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.
mindsdb
AI Analytics and Knowledge Engine for RAG over large-scale, heterogeneous data. - The only MCP Server you'll ever need