neural-networks

TensorFlow-based neural network library

Keras implementations of Generative Adversarial Networks.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A customisable 3D platform for agent-based AI research

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A flexible framework of neural networks for deep learning

Deep Reinforcement Learning for Keras.

Supercharge Your Model Training

Build Graph Nets in Tensorflow

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Probabilistic time series modeling in Python

This repository is a compilation of free resources for learning Data Science.

Image augmentation library in Python for machine learning.

links to conference publications in graph-based deep learning

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Time series forecasting with PyTorch

Run Keras models in the browser, with GPU support using WebGL

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.