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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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github.com
A set of functions to support the development of machine learning algorithms.
numpy.org
A fundamental package for scientific computing with Python.
github.com
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
github.com
Vanna.ai - An open-source Python RAG framework for SQL generation and related functionality.
github.com
Simple and efficient library to minimize expensive and noisy black-box functions.