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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A set of functions to support the development of machine learning algorithms.
A fundamental package for scientific computing with Python.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Vanna.ai - An open-source Python RAG framework for SQL generation and related functionality.
Simple and efficient library to minimize expensive and noisy black-box functions.
MathArena provides machine-learning models, research, training resources, or evaluation tools.
Mathos AI provides AI-assisted learning, courses, tutorials, or study support.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Distributed linear algebra framework and mathematically expressive Scala DSL.
A Python library for symbolic mathematics.