paulmorio

geo2dr

Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

protclus

Python 3 library implementing a number of topological clustering techniques used on protein-protein interaction networks.

gincco

Source code for GINCCo Paper

DrugPairScoringDR

Repository for Distributed representations of graphs for drug pair scoring

usualsuspects

Personal tools for making visualisations and other figures that pop up in ML papers all the time.

GNN-C2L

Source code associated with "Spatio-relational inductive biases for spatial cell type deconvolution"

simpleGNN

Pure Python/Numpy implementation of GNNs for expositional purposes.

GraKeL

A scikit-learn compatible library for graph kernels

hackCambridge

img2graph

Python tool to change 2D images into graphs.

simpleRNN

Simple Python and Numpy implementations of RNNs. Based of Andrej Karpathy's work. For expositional purposes.

adventofcode

https://adventofcode.com/ submissions

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

cell2location

Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)

CTDNE

Implementation of the CTDNE algorithm.

deep_learning_NLP

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

gae-pytorch

Graph Auto-Encoder in PyTorch

IPC-graph-data

IPC: A Graph Data Set Compiled from International Planning Competitions

paulmorio

Config files for my GitHub profile.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_geometric_temporal

A Temporal Extension Library for PyTorch Geometric

R-Extension

(Coming Soon) The NetLogo R Extension

scicomp

simpleAE

Simple minimal implementation of Autoencoders and variants. Useful for instruction in class.

simpleMHVAE

Simple one-off implementation of markovian hierarchical variational auto-encoders

simpleNN

Simple neural network implementation using basic python for instruction in class

simpleVAE

Simple vanilla PyTorch implementation of a VAE, and several variants such as the MHVAE

slurms

Some slurms useful for running python and executable scripts for CSD3

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

website

Content for the CaRAML website