Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Fast and flexible AutoML with learning guarantees.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Implementation of Optimal Auctions through Deep Learning

Model built with the Keras Functional API