Google Research

A game theoretic approach to explain the output of any machine learning model.

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

This repository contains implementations and illustrative code to accompany DeepMind publications

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

WebGL accelerated JavaScript molecular graphics library

Knowledge Graph Toolkit

Example code from the book "Deep Learning for the Life Sciences"

Deep Reinforcement Learning for de-novo Drug Design

Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.

Flexible Integration of Data with Deep LEarning

TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft

Udacity Artificial Intelligence Nanodegree

Detecting skin cancer in encrypted images with TensorFlow

Algorithms used in cryptography, an academic introduction