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Ki Beom Kim's Projects

006975 icon 006975

케라스 창시자에게 배우는 딥러닝

diffdock icon diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

factorhne icon factorhne

the implementation of FactorHNE model in pytorch version

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graphmae2 icon graphmae2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

hgnn icon hgnn

Hypergraph Neural Networks (AAAI 2019)

hogcn-lp icon hogcn-lp

Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks

magnn icon magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

openfold icon openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

pygat icon pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

pyhgt icon pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

recoteam icon recoteam

카카오 추천팀 공개 리포지토리입니다.

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

tabnet icon tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

tigerkey10.github.io icon tigerkey10.github.io

데이터 분석 / 머신러닝을 위한 공부 후 결과물을 기록하는 Repository 입니다.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tst_transformer2 icon tst_transformer2

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

uni-fold icon uni-fold

An open-source platform for developing protein models beyond AlphaFold.

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