The fastai deep learning library, plus lessons and and tutorials

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

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

A Python implementation of LightFM, a hybrid recommendation algorithm.

A practical approach to learning machine learning.

Go Web Programming code repository

Simple but Flexible Recommendation Engine in PyTorch

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Julia implementation of QuantEcon routines

A scalable machine learning library on Apache Spark

LaTeX source and supporting code for Think Data Structures: Algorithms and Information Retrieval in Java

Reference Repo for an Elixir course on Udemy.com

Code repository for Think Bayes.

Course materials/Homework materials for the Kadenze Academy course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Code from the NFL Hackathon

Scala for data science

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Plotting Assignment 1 for Exploratory Data Analysis

The Leek group guide to data sharing