pawni

ivy

The Unified AI Framework

pix2pix

Image-to-image translation with conditional adversarial nets

pyro

Deep universal probabilistic programming with Python and PyTorch

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

open-nsynth-super

Open NSynth Super is an experimental physical interface for the NSynth algorithm

rasa_core

Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations

The-HustleGPT-Challenge

Building Startups with an AI Co-Founder

qemu-rpi-kernel

Qemu kernel for emulating Rpi on QEMU

TensorKart

self-driving MarioKart with TensorFlow

ac-nh-turnip-prices

Price calculator/predictor for Turnip prices

DLTK

Deep Learning Toolkit for Medical Image Analysis

sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

nflows

Normalizing flows in PyTorch

reprozip

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

JULE.torch

Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

dni-pytorch

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

observations

Tools for loading standard data sets in machine learning

auxiliary-deep-generative-models

Deep generative models for semi-supervised learning.

notMNIST-to-MNIST

A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets

malmo-challenge

Malmo Collaborative AI Challenge - Team Pig Catcher

pSGLD

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

SEVDL_MGP

Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016

counterfactualms

counterfactuals for magnetic resonance images of multiple sclerosis

cytogan

Repository for my research on generative modelling of cell images

ssh_gpu_checker

Some terrible code for checking GPU availability across machines

sgld_online_approximation