leekh7411

PLUS

Official Pytorch implementation of PLUS (Protein sequence representations Learned Using Structural information), IEEE Access 2021

GraphDTA

GraphDTA: Predicting drug-target binding affinity with graph neural networks

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

NAB

The Numenta Anomaly Benchmark

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

FastqCLS

a robust FASTQ-specific compressor for recent generation data via score-based reordering

rs_study

추천시스템 스터디 ('20.8.11 ~ '20.10.2)

typedb

TypeDB: the polymorphic database powered by types

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Interview_Question_for_Beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

item2vec

Implement item2vec algorithm

faiss

A library for efficient similarity search and clustering of dense vectors.

awesome-RecSys

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

OneClassClassifier

One-class classifiers for anomaly detection (outlier detection)

grlearning.github.io

Graph Representation Learning

prml

PRML study (pattern recognition & machine learning, Bishop)

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

korean-hate-speech

Korean HateSpeech Dataset

TwoStageVAE

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Effective-Python

Learn and summarize 'Effective Python'

protein-vae

Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies

graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

pytorch_geometric

Graph Neural Network Library for PyTorch

DMPfold

De novo protein structure prediction using iteratively predicted structural constraints

GPSPageRank

BDP2019

alphafold_pytorch

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

plotly.js

Open-source JavaScript charting library behind Plotly and Dash

pv

WebGL protein viewer