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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

bash2048

Bash implementation of 2048 game

charitech

codeforces

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

faster-tex-with-vim

Slides and other material from our talk!

game-of-24

A solution finder to game of 24

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gat-for-ppi

The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI

generative-adversarial-network-tutorial

Tutorial on creating your own GAN in Tensorflow

graphsage

Representation learning on large graphs using stochastic graph convolutions.

keras-generative

Deep generative networks, coded with Keras.

mynotebook

My daily notebook on bioinformatic data analysis and machine learning

py-wsi

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

routenet-challenge

RouteNet version for the Graph Neural Networking Challenge

tensorflow

An Open Source Machine Learning Framework for Everyone

winference

R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)

workshop-deep-learning

Hackers at Cambridge Deep Learning Workshops