natnaelt Goto Github PK

deep_scaffold

deepimpute

An accurate and efficient deep learning method for single-cell RNA-seq data imputation

deeplearningclinicaldiagnostics

Here I show how to utilize Bayesian Deep Learning using PyMC3 for making more accurate and safer predictions for biomedical applications

deepneuralnet-qsar

deepsmiles

DeepSMILES - A variant of SMILES for use in machine-learning

degnext

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-lifesci

Python package for graph neural networks in chemistry and biology

dl_book_docker

docker container for the deep learning book

dlab-public

Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"

dms_opt

dorothea

R package to access DoRothEA's regulons

dosing-rl-gym

Patient data simulator following the structure of an open-ai gym.

dynbenchmark

Comparison of methods for trajectory inference on single-cell data 🥇

edatransferlearning

edurekaproject

examples

Grakn Example Projects and Tutorials

exp2sl

EXP2SL: a Machine Learning Framework for Cell-Line Specific Synthetic Lethality Prediction

explore-single-cell-resources-and-databases

I have created a RShiny app to help community explore popular single cell based databases and resources. Please help add to this Shiny app and help community explore datasets from one webpage.

extraction-of-material-properties-through-multi-fidelity-deep-learning-from-molecular-dynamics-simul

This repository is for the data used in the paper 'Fast Predictive Molecular Dynamics Simulation Based on Multi-fidelity Physics Informed Neural Network'

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

fasmifra

Molecular Generation by Fast Assembly of SMILES Fragments

fishreglab

Model to predict effect of regulations on the population dynamics of fishes

flask-demo

Basic template for using Flask on Heroku

foldseek

Foldseek enables fast and sensitive comparisons of large structure sets.

ga-dsi

gain

Generative Adversarial Imputation Networks (GAIN)

gde

Graph Neural Ordinary Differential Equations

genome-deep-learning