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2018_10_gganimate

2018_12_bham

ained

astir

astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨

basisvae

PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders

bdi-intro-to-bayesian-stats

Short course on Introduction to Bayesian statistics

c-gplvm

PyTorch implementation of the Covariate-GPLVM

crossovers

datavis-tutorial

ensemblefhmm

R package for ensemble MCMC for Factorial Hidden Markov Models

ensemblehmm

hmc

kasparmartens.github.io

latentpathways

mixturemodels

MCMC for Dirichlet Process mixture models

mlfs

neuraldecomposition

PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"

neuralprocesses

Neural Processes implementation for 1D regression

nuts

HMC No-U-Turn sampler (NUTS) implementation in R

oxwasp-projects

Reports of micro-projects written during my first year of PhD in Oxford (OxWaSP modules)

oxwasplda

polyagamma

OxWaSP module 1 project

rarity

Implementarion of Rarity: Discovering rare cell populations from single-cell imaging data

shared-private-multimodalvae

PyTorch implementation for shared-private Multimodal Variational Autoencoders

shinysense

A bunch of shiny modules that let shiny sense the world around it.

talks

v97

Proceedings of ICML 2019

website

y10k-prediction

Code for our paper: Predicting quantitative traits from genome and phenome with near perfect accuracy