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deepcdr

Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network

deepce

A deep learning framework for high-throughput mechanism-driven phenotype screening

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepcl

OpenCL library to train deep convolutional neural networks

deepcoil

Fast and accurate prediction of coiled coil domains in protein sequences. ​

deepcompression-pytorch

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

deepcourse

Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

deepcov

Fully convolutional neural networks for protein residue-residue contact prediction

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepdegron

Deep learning model to predict degron sequences

deepdock

An experimental package for deep learning for molecular docking

deepdr

deepdrug3d

A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.

deepdta

deepdtnet

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deepergatgnn

Scalable graph neural networks for materials property prediction

deepface

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

deepfacelab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

deepfl-logp

DeepFl-LogP a deep neural molecular descriptor

deepfolding

Protein contacts prediction using deep learning models

deepfri

Deep functional residue identification

deepgraphene

Deep learning for predicting the properties of graphene

deepgs

DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)

deeph3-distances-orientations

deepimagereconstruction

Data and demo codes for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

deepimmuno

Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity

deepinteract

A geometric deep learning pipeline for predicting protein interface contacts.

deepipw

Code and Datasets for the paper "A computational framework for drug repurposing with deep learning and causal inference".

deepks-kit

a package for developing machine learning-based chemically accurate energy and density functional models