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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A handbook for ML built on answers.
A library for training and deploying machine learning models on Amazon SageMaker
A game theoretic approach to explain the output of any machine learning model.
This library has been moved to https://github.com/ntumlgroup/LibMultiLabel
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more