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batchglm

Fit generalized linear models in python.

diffxpy

Differential expression analysis for single-cell RNA-seq data.

episcanpy

Episcanpy: Epigenomics Single Cell Analysis in Python

interactive_plotting

le-ander.github.io

msc_bioinfo-experimental_design

Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.

msc_bioinfo-network_inference

Network inference for gene expression using gradient matching. Final research project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.

msc_bioinfo-protonet

Inferring novel protein-protein interactions with deep learning. Data analysis project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.

single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

udacity-bike_sharing_predicton-mlp

A feed-forward neural network implementation in Python and Numpy to build a predictor for bike sharing patterns as part of the Udacity Deep Learning Nanodegree.

udacity-deployment-sagemaker

Deploying a sentiment analysis model in a production environment using Amazon AWS SageMaker as part of the Udacity Deep Learning Nanodegree.

udacity-face_generation-gan

A Generative Adversarial Neural Network built in Pytorch for the generation of images showing realistic human faces as part of the Udacity Deep Learning Nanodegree.

udacity-image_classification-cnn

A dog-breed classifier in Pytorch built using Convolutional Neural Networks as part of the Udacity Deep Learning Nanodegree.

udacity-script_generation-lstm

A text generation engine for TV scripts. Built using Recurrent Neural Networks in Pytorch as part of the Udacity Deep Learning Nanodegree.