Seongok Ryu's repositories

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CH485---Artificial-Intelligence-and-Chemistry

CH485 - Artificial Intelligence and Chemistry

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Bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

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uq_molecule

Uncertainty quantification of molecular property prediction using Bayesian deep learning

mutual_information_and_self-supervised_learning

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

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multiple_instance_learning

Multiple instance learning for weakly supervised learning

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ACE-Team-DLstudy

Study materials about "Deep Learning for Molecular Applications".

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Semi-supervised-learning

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

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awesome-single-cell

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

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mol_reliability

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

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hgraph2graph

Hierarchical Graph-to-Graph Translation for Molecules

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mol_reliable_gnn

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

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alphafold_pytorch

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

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AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

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benchmarking-gnns

Repository for benchmarking graph neural networks

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deep_Mahalanobis_detector

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

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deeplearning-biology

A list of deep learning implementations in biology

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ge-vae

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

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google-research

Google AI Research

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models

Models and examples built with TensorFlow

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MONN

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

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Pymol-script-repo

Collected scripts for Pymol

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