Google Research

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

The fastai book, published as Jupyter Notebooks

This repository contains implementations and illustrative code to accompany DeepMind publications

Best Practices, code samples, and documentation for Computer Vision.

Various ipython notebooks

Code for the Lovász-Softmax loss (CVPR 2018)

Learn Julia via interactive tutorials!

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

Letting computers listen to you and really care

Reinforcement learning with A* and a deep heuristic

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

emoji2vec: Learning Emoji Representations from their Description

A list of papers / videos / tutorials / blog posts on machine learning

Quake 1 movement physics reinforcement learning

Repository for the Mozilla Overscripted Data Mining Challenge

These are the jupyter notebooks used for intro tutorials to teach Julia

Code for the TrackML competition on Kaggle

My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)