Generative Adversarial Networks implemented in PyTorch and Tensorflow

A crash course in six episodes for software developers who want to become machine learning practitioners.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Datasets, Transforms and Models specific to Computer Vision

Fast and flexible AutoML with learning guarantees.

PyTorch tutorials demonstrating modern techniques with readable code

Deep Learning (with PyTorch)

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay