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alignontology

Code for aligning two ontologies. Originally used in "A gene ontology inferred from molecular networks" doi:10.1038/nbt.2463

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

bert-pytorch

Google AI 2018 BERT pytorch implementation

chainer-saliency

Saliency calculation module for Chainer

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

cosmic_embedding

cross-stitch-networks-for-multi-task-learning

A Tensorflow implementation of the paper arXiv:1604.03539

decagon

Graph convolutional neural network for multirelational link prediction

dtinet

A Network Integration Approach for Drug-Target Interaction Prediction

gedfn

GEDFN: graph-embedded deep feedforward networks

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

graph2vec

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

graphsage

Representation learning on large graphs using stochastic graph convolutions.

gseapy

Gene Set Enrichment Analysis in Python

guidedlda

semi supervised guided topic model with custom guidedLDA

indications

Processing high-throughput drug indication resources.

labeled-lda-python

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

lda2vec

learning2rank

Learning to rank with neuralnet - RankNet and ListNet

llda

Scikit-learn like Labeled-LDA

macau_project_1

Linking drug target and pathway activation for effective therapy using multi-task learning

mlp

Multilayer Perceptron Keras wrapper for sklearn

multi-task-image-classification

Multi-task learning for image classification implemented in PyTorch.

multitask-learning

多任务学习相关资料，论文，代码

neodti

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

pasnet

Pathway-based sparse deep neural network

practicalai

A practical approach to learning machine learning.

ptm

A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions. TKDE 2018

pygpgo

Bayesian optimization for Python