seongokryu Goto Github PK
Name: Seongok Ryu
Type: User
Bio: Research Scientist @ Galux Inc.
Location: GALUX
Name: Seongok Ryu
Type: User
Bio: Research Scientist @ Galux Inc.
Location: GALUX
Study materials about "Deep Learning for Molecular Applications".
An implementation of the DeepMind's AlphaFold based on PyTorch for research
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
Notes and codes of the topic "Bayesian deep learning"
Repository for benchmarking graph neural networks
CH485 - Artificial Intelligence and Chemistry
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
Deep Learning Papers on Medical Image Analysis
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
A list of deep learning implementations in biology
Graph Embedding VAE (NeurIPS 2019 Workshop on Graph Representations).
Google AI Research
Environment for reinforcement-learning algorithmic trading models
Hierarchical Graph-to-Graph Translation for Molecules
insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis method that aids interpretation of large-scale gene expression data. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarkers for patient stratification.
KAIST Thesis Template
Models and examples built with TensorFlow
"A Comprehensive study on the reliability of neural prediction models for virtual screening"
Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'
Molecular-GAT
MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins
Multiple instance learning for weakly supervised learning
Notes and tutorials on "Mutual information and self-supervised learning"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.