Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Dask tutorial

Parallel computing with task scheduling

Tutorial on interpreting and understanding machine learning models

Distributed Task Queue (development branch)

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Handout for the tutorial "Creating publication-quality figures with matplotlib"

https://2017.icml.cc/Conferences/2017/Schedule

The Web API toolkit. 🛠

Progressive Growing of GANs for Improved Quality, Stability, and Variation

💥 Interactive and colorful 🎨 graph theory tutorials made using d3.js ⚡

Python programs, usually short, of considerable difficulty, to perfect particular skills.

The Racket repository

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Jupyter metapackage for installation and documentation

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège

Sequential model-based optimization with a `scipy.optimize` interface

A pedagogical implementation of Autograd

Rudimentary automatic differentiation framework

Quantized word vectors that take 8x-16x less space than regular word vectors

Deep universal probabilistic programming with Python and PyTorch

Pytorch implementation of convolutional neural network visualization techniques

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Tutorial material on the scientific Python ecosystem

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Personal and biased selection of ML resources

Data sets for machine learning in Python

Code for the paper "On First-Order Meta-Learning Algorithms"