johnreid Goto Github PK

2017-qqr-clusternomics

Poster about clusternomics

artistic-style-transfer

Convolutional neural networks for artistic style transfer

auxiliary-deep-generative-models

Deep generative models for semi-supervised learning.

awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

barlow-twins-hsic

Barlow Twins HSIC

bayesfunc

bayesoptjournalclub

Code for a London Data Science Journal Club about Bayesian optimisation

bdl-benchmarks

Bayesian Deep Learning Benchmarks

bioinf-utilities

A collection of (largely python based) bioinformatic utilities

biopsy

C++ and python code for sequence analysis related to transcriptional regulation

boost-indexing-suite

Boost indexing suite v2 code developed by Raoul Gough.

branchedgp

Branching Gaussian process

cacto

A non-parametric sequence model

cam-bio-big-data

A directory of training available in Cambridge and around for basic bioinformatics processing and computational expertise in handling big data

check-yourself

A case study in discrete choice model assessment with predictive simulations.

clean-markdown-theme

A clean css theme to be used with markdown files.

clusternomics

Integrative clustering for heterogeneous biomedical datasets.

cookbook

A collection of useful python code

crf_denoising

Build a CRF model using Chainer for binary image denoising.

danq

A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences

deepchess

deepneuralnet-chess

Using @tensorflow, classify on the lichess dataset of standard games. Given a chess position as input, predict who will most likely win the game.

delorean

R package to model time series accounting for noise in the temporal dimension. Specifically designed for single cell transcriptome experiments.

deloreandata

Data for the DeLorean package

dotfiles

My configuration files (.tmux.conf, .vimrc, .bashrc, .gitconfig, etc)

dynlearn

Active learning of dynamical systems

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

factornet

A deep learning package for predicting TF binding

genbmm

CUDA kernels for generalized matrix-multiplication in PyTorch

giraffe

experimental chess engine based on temporal-difference reinforcement learning