Pinned Repositories
Apta-MCTS
Supporting code for the paper "Predicting aptamer sequences that interact with target proteins using an Aptamer-Protein Interaction classifier and a Monte-Carlo tree search approach". Please issue for any errors or helps.
Audio-Super-Resolution
Audio Super Resolution in Python3 with Tensorflow 1.5.0 (ref. https://kuleshov.github.io/audio-super-res/)
Audio-Super-Resolution-Python3-TF
Audio Super Resolution in Python3 with Tensorflow 1.5.0 (ref. https://kuleshov.github.io/audio-super-res/)
DeepBind-2015-Example
Fast-Audio-Super-Resolution
simple, fast audio-super-resolution keras & tensorflow model. Ref) https://github.com/kuleshov/audio-super-res
GNNs-Pytorch-Geometric-Examples
GNNs-Pytorch-Geometric-Examples
RPIntDB
Soft-Nearest-Neighborhood-loss-MNIST-example
Soft Nearest Neighborhood loss Tensorflow MNIST example
TheMoon
AWS-chatbot challenge 2017. Unity & AWS Lex , Lambda..etc
WebVoiceChat-with-ASRNNoise
Web based voice talk application using Audio Super Resolution and RNNoise(called ASRNNoise). PNU-CSE-2018-graduate assignment
leekh7411's Repositories
leekh7411/Apta-MCTS
Supporting code for the paper "Predicting aptamer sequences that interact with target proteins using an Aptamer-Protein Interaction classifier and a Monte-Carlo tree search approach". Please issue for any errors or helps.
leekh7411/GNNs-Pytorch-Geometric-Examples
GNNs-Pytorch-Geometric-Examples
leekh7411/Soft-Nearest-Neighborhood-loss-MNIST-example
Soft Nearest Neighborhood loss Tensorflow MNIST example
leekh7411/DeepBind-2015-Example
leekh7411/RPIntDB
leekh7411/Hall-of-Shames
Failed list
leekh7411/Aptamer-Protein-Interactions-Pytorch
leekh7411/ATTN-seq
Molecular(ex. protein) sequence generation modeling using the Seq2Seq model with Attentions based on PPI-networks
leekh7411/Capsule-Network-MNIST-Visualization
capsule network with Keras(ref, https://github.com/XifengGuo/CapsNet-Keras), visualize MNIST using 2D digits capsule
leekh7411/CIFAR-100-PH2
CIFAR-100-PH2
leekh7411/DataMining_HW03
부산대학교 정보컴퓨터공학부 2018 데이터마이닝 과제 3 공지
leekh7411/Effective-Python
Learn and summarize 'Effective Python'
leekh7411/forna
Create force-directed graphs of RNA secondary structures.
leekh7411/GNNPapers
Must-read papers on graph neural networks (GNN)
leekh7411/Graph-Convolutional-Network-using-Keras
Keras API version of Graph Convolutional Network(GCN). Tested on 'Cora' benchmark dataset through node classification
leekh7411/GraphProt2
Modelling RBP binding preferences to predict RPB binding sites
leekh7411/IVAE
IVAE
leekh7411/leekh7411
leekh7411/leekh7411.github.io
leekh7411/melon-playlist-continuation
Kakao Arena - Melon Playlist Continuation 대회의 베이스라인 코드
leekh7411/Multi-Input-MNIST
Multi-Input MNIST Dataset : Classify two input digit images are same or not
leekh7411/Optimal-Subway-Cycle-in-Random-Delaunay-Graph-Map
Optimal Subway Cycle in Random Delaunay Graph Map
leekh7411/Protein-Protein-Network-Human
Amino-acid sequence data set in the Human protein-protein interaction network for machine learning & deep learning
leekh7411/RBP31_ML
RBP31 dataset for machine learning
leekh7411/reinforcement-learning-kr
[파이썬과 케라스로 배우는 강화학습] 예제
leekh7411/RNAStrandV2_for_DeepLearning
RNAStrandV2_for_DeepLearning
leekh7411/RPITER
A hierarchical deep learning framework for ncRNA-protein interaction prediction.
leekh7411/RSSP
None
leekh7411/tanimutomo
leekh7411/Yeast-PPI-Tutorial
Simple Tutorial using the Yeast Protein-Protein Interaction Network dataset