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In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, ... Read more

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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