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dgi-db

Rails frontend to The Genome Institute's drug gene interaction database.

diff2vec

Reference implementation of Diffusion2Vec (Complenet 2018).

digits

Deep Learning GPU Training System

docker-debian-samp

Docker image based on Debian Jessie specifically for SA-MP plugin building

dragonn

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

draw_convnet

driver.js

A light-weight, no-dependency, vanilla JavaScript engine to drive the user's focus across the page

eel

A little Python library for making simple Electron-like HTML/JS GUI apps

elasticsearch-docker

Official Elasticsearch Docker image

enhancedvolcano

Publication-ready volcano plots with enhanced colouring and labeling

eva-pipeline

Genomic variation pipeline for the European Variation Archive, implemented using Spring Batch

eva-tools

Tools compatible with the infrastructure of the European Variation Archive pipeline

eva-ws

European Variation Archive REST web services API

examples

Home for Elasticsearch examples available to everyone. It's a great way to get started.

fastai

The fastai deep learning library, plus lessons and and tutorials

fgsea

Fast Gene Set Enrichment Analysis

focus-beamertheme

Focus: a minimalist presentation theme for LaTeX Beamer.

framework_divide-and-conquer

Framework to solve Divide and Conquer problems in an easy way, you just need to define the specific Problem characteristics and the Framework will solve it for you with a D&C approach

free-programming-books

:books: Freely available programming books

gae

Implementation of Graph Auto-Encoders in TensorFlow

garage

A framework for reproducible reinforcement learning research

gcn

Implementation of Graph Convolutional Networks in TensorFlow

ggnomics

A small project to add ggplot2 extensions

ggstatsplot

Collection of functions to enhance ggplot2 plots with results from statistical tests.

glwtpl

"Good Luck With That" Public License

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification

graph-transformer

Transformer for Graph Classification (in Pytorch and Tensorflow)

graph2gauss

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).