dlidstrom/NeuralNetworkInAllLangs

Introducción a las redes neuronales (ejercicios python)

Minimal and clean examples of machine learning algorithms implementations

Applied neural networks covering classification, function approximation, backpropagation, optimization, and dynamic system modeling with Python and TensorFlow.

A deep learning library built from scratch with complex neural networks examples built on top for learning purposes.

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 learning.

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

Code from Michael Nielsen book Neural Networks and Deep Learning ported to C++.

Neural Networks: Zero to Hero

Implementation of papers in 100 lines of code.