Stars
Building Startups with an AI Co-Founder
counterfactuals for magnetic resonance images of multiple sclerosis
Convert Machine Learning Code Between Frameworks
Fast asynchronous GPU monitoring tool across multiple machines through SSH
Price calculator/predictor for Turnip prices
⏰ AI conference deadline countdowns
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
Open NSynth Super is an experimental physical interface for the NSynth algorithm
Repository for my research on generative modelling of cell images
Tools for loading standard data sets in machine learning
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
Deep universal probabilistic programming with Python and PyTorch
Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016
Collection of generative models in Tensorflow
Tensorforce: a TensorFlow library for applied reinforcement learning
Malmo Collaborative AI Challenge - Team Pig Catcher
AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
self-driving MarioKart with TensorFlow
Image-to-image translation with conditional adversarial nets
Qemu kernel for emulating Rpi on QEMU
Deep generative models for semi-supervised learning.
Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"