SeongokRyu

ACE-Team-DLstudy

Study materials about "Deep Learning for Molecular Applications".

augmented-GCN

Bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

CH485---Artificial-Intelligence-and-Chemistry

CH485 - Artificial Intelligence and Chemistry

Graph-neural-networks

Molecular-GAT

Molecular-GAT

multiple_instance_learning

Multiple instance learning for weakly supervised learning

mutual_information_and_self-supervised_learning

Notes and tutorials on "Mutual information and self-supervised learning"

my-study-materials

uq_molecule

Uncertainty quantification of molecular property prediction using Bayesian deep learning

SeongokRyu/Graph-neural-networks

SeongokRyu/CH485---Artificial-Intelligence-and-Chemistry

CH485 - Artificial Intelligence and Chemistry

SeongokRyu/augmented-GCN

SeongokRyu/Bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

SeongokRyu/uq_molecule

Uncertainty quantification of molecular property prediction using Bayesian deep learning

SeongokRyu/mutual_information_and_self-supervised_learning

Notes and tutorials on "Mutual information and self-supervised learning"

SeongokRyu/multiple_instance_learning

Multiple instance learning for weakly supervised learning

SeongokRyu/ACE-Team-DLstudy

Study materials about "Deep Learning for Molecular Applications".

SeongokRyu/my-study-materials

SeongokRyu/Semi-supervised-learning

Notes and codes of the topic "Semi-supervised learning"

SeongokRyu/LAIDD_GNN

SeongokRyu/gnn_solubility

SeongokRyu/awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

SeongokRyu/mol_reliability

"A Comprehensive study on the reliability of neural prediction models for virtual screening"

SeongokRyu/hgraph2graph

Hierarchical Graph-to-Graph Translation for Molecules

SeongokRyu/mol_reliable_gnn

Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'

SeongokRyu/seongokryu.github.io

SeongokRyu/alphafold_pytorch

An implementation of the DeepMind's AlphaFold based on PyTorch for research

SeongokRyu/AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

SeongokRyu/benchmarking-gnns

Repository for benchmarking graph neural networks

SeongokRyu/deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

SeongokRyu/deeplearning-biology

A list of deep learning implementations in biology

SeongokRyu/ge-vae

Graph Embedding VAE (NeurIPS 2019 Workshop on Graph Representations).

SeongokRyu/google-research

Google AI Research

SeongokRyu/mixmatch

SeongokRyu/models

Models and examples built with TensorFlow

SeongokRyu/MONN

MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins

SeongokRyu/Pymol-script-repo

Collected scripts for Pymol

SeongokRyu/rl_graph_generation

SeongokRyu/understandingbdl