Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

Notebooks for learning deep learning

Postal Vote Data from the 2019 General Election - obtained with Freedom of Information Requests

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

An open source dynamic simulation for flapping wing robots and animals

Text and supporting code for Modeling and Simulation in Python

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

Pytorch implementation of Augmented Neural ODEs 🌻

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

NYU Deep Learning Spring 2020

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Code for the paper "Language Models are Unsupervised Multitask Learners"

An educational resource to help anyone learn deep reinforcement learning.

For educational materials related to the spinning up workshops.

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

Production-Grade Container Scheduling and Management

In this repo I show how to simple create an API for your machine learning models in Python

Official git repository for Biopython (originally converted from CVS)

Torch implementation of neural style algorithm

A toolkit for developing and comparing reinforcement learning algorithms.

A technical report on convolution arithmetic in the context of deep learning

Proposes neural networks that can generate animation of virtual characters for different actions.

StarCraft II Learning Environment

Everything you need to know about CNN in PyTorch

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference