Pinned Repositories
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
DeepColin's Repositories
DeepColin/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
DeepColin/awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
DeepColin/BERT-pytorch
Google AI 2018 BERT pytorch implementation
DeepColin/chainer-saliency
Saliency calculation module for Chainer
DeepColin/corex_topic
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
DeepColin/COSMIC_Embedding
DeepColin/Cross-stitch-Networks-for-Multi-task-Learning
A Tensorflow implementation of the paper arXiv:1604.03539
DeepColin/decagon
Graph convolutional neural network for multirelational link prediction
DeepColin/DTINet
A Network Integration Approach for Drug-Target Interaction Prediction
DeepColin/GEDFN
GEDFN: graph-embedded deep feedforward networks
DeepColin/graph-cnn.pytorch
Pytorch Implementation for Graph Convolutional Neural Networks
DeepColin/graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
DeepColin/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
DeepColin/GSEApy
Gene Set Enrichment Analysis in Python
DeepColin/GuidedLDA
semi supervised guided topic model with custom guidedLDA
DeepColin/Labeled-LDA-Python
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
DeepColin/lda2vec
DeepColin/Macau_project_1
Linking drug target and pathway activation for effective therapy using multi-task learning
DeepColin/multi-task-image-classification
Multi-task learning for image classification implemented in PyTorch.
DeepColin/Multitask-Learning
多任务学习相关资料，论文，代码
DeepColin/NeoDTI
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
DeepColin/PASNet
Pathway-based sparse deep neural network
DeepColin/practicalAI
A practical approach to learning machine learning.
DeepColin/PTM
A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions. TKDE 2018
DeepColin/pyGPGO
Bayesian optimization for Python
DeepColin/ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
DeepColin/SCNN-pytorch
Spatial CNN model in PyTorch use Cityscapes-dataset
DeepColin/SelfOrganizingMap-SOM
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.
DeepColin/ssGSEA2.0
Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
DeepColin/word2vec-pytorch
Implementation of word2vec in PyTorch