Tensorflow 2.0/Keras implementation of MR(A)I workshop material

Vector Quantized VAEs - PyTorch Implementation

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

in progress

Code challenge for HSDTC Data Hackathon

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster

A wizard's guide to Adversarial Autoencoders

A template for scikit-learn extensions

📐 A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

In this repo, I work on the implementation of the R\gamlss package in Python.

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

A recipe for a RESTful API with key authentication. Powered with Flask+SQLALchemy and a minimal amount of external dependencies.

From the basics to slightly more interesting applications of Tensorflow

Oxford Deep NLP 2017 course

This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube

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

Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.

Console application to manage deep neural network training in AETROS Trainer

Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016

Notebooks and code for the book "Introduction to Machine Learning with Python"

Train a deep learning net with OpenStreetMap features and satellite imagery.

Deep learning tutorial for PyData London 2016

Topics Course on Deep Learning UC Berkeley