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A machine learning library in Rust from scratch.

TransformerCPP is a minimal C++ machine learning library with autograd and tensor ops, inspired by PyTorch. It includes a from-scratch Transformer model demo, optimized for CPU and multithreaded performance.

A collection of commonly used machine learning algorithms implemented in Python/Numpy

Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, perceptrons and other linear classifiers.

A collection of Machine Learning algorithms in Python written from scratch.

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This is the repository for the course ML at Asian Institute of Technology. Covers machine learning and deep learning from scratch using Python.

Some practices using statistical machine learning technique based on some dataset. (notes and doing from scratch)

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Quantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, includin... Read more