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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bmdca

catrapid_globalscore_light

light version of catrapid globalscore to run on Nextflow

cbam-keras

CBAM implementation on Keras

char-cnn-text-classification-tensorflow

Character-level Convolutional Networks for Text Classification论文仿真实现

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

circdeep

End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning

cnn-text-classifier-using-keras

Convolutional Neural Network text classifier using Keras and tensorflow backed

data-science-sequencing.github.io

Web site for the class EE 372 : Data Science for High-Throughput Sequencing at Stanford

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-protein-generation

deeppurpose

A Drug-Target Interaction Prediction Toolkit with State-of-the-Art Deep Learning Methods and its Applications in Drug Repurposing and Virtual Screening

deepselex

Inference of DNA-binding preferences from HT-SELEX data using deep neural networks

deepsequence-pytorch

deepshape

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

dlprb

DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding

drugvqa

Predicting Drug Protein Interaction using Quasi-Visual Question Answering System

dual-attention-network

Tensorflow implementation of Dual Attention Network

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

fingernat

Software for calculating Structural Interaction Fingerprints (SIFts) in nucleic acids-ligands complexes.

flexs

Fitness landscape exploration sandbox for biological sequence design.

genesis

Deep Exploration Networks - Diverse deep generative DNA sequence models

gnn-algorithms

图神经网络相关算法详述及实现

graphdesigningrnas

graphdta

GraphDTA: Predicting drug-target binding affinity with graph neural networks

gremlin_cpp

GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!

heidelberg_2020

Github repository for the iGEM Team Heidelberg 2020 judging release software.

hsm

Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."

icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)