haedong31

haedong31's Stars

• WGLab/PhenoSS

  1

• jwilliams10/RICE

  Construction of Rare Variant PRS using RICE

  Language:R5

• imgag/ClinCNV

  Detection of copy number changes in Germline/Trio/Somatic contexts in NGS data

  Language:R792

• jungyh0218/ood-documentation

  Documentation for Open OnDemand generated using Sphinx

  1

• dceoy/pdbio

  Pandas-based Data Handler for VCF, BED, and SAM Files

  Language:Python321

• tycheleturner/CLUMP

  CLUstering by Mutation Position

  Language:Python32

• Squirrels-I/PyTorch-tutorials

  Language:Jupyter Notebook1

• FarhadPishgar/MatchThem

  Matching and Weighting Multiply Imputed Datasets

  Language:R142

• atgu/gnomad_nc_constraint

  Language:Python83

• exaloop/codon

  A high-performance, zero-overhead, extensible Python compiler using LLVM

  Language:C++15.2k523

• GooglingTheCancerGenome/sv-channels

  Deep learning-based structural variant filtering method

  Language:Python375

• nextflow-io/nextflow

  A DSL for data-driven computational pipelines

  Language:Groovy2.8k643

• nextflow-io/training

  Nextflow training material

  Language:Nextflow134131

• vsbuffalo/bds-files

  Supplementary files for my book, "Bioinformatics Data Skills"

  Language:Python619361

• mortezaro/ad-recognition-from-speech

  Language:Python122

• CardiacModelling/fitting-notebooks

  Examples of parameter estimation in cardiac cell electrophysiology using Myokit and PINTS.

  Language:Jupyter Notebook46

• poloclub/diffusion-explainer

  Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

  Language:JavaScript24524

• peterewills/NetComp

  Comparative metrics for dynamic networks in Python

  Language:Jupyter Notebook6815

• cran/PAmeasures

  :exclamation: This is a read-only mirror of the CRAN R package repository. PAmeasures — Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data

  Language:R1

• erdogant/bnlearn

  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

  Language:Jupyter Notebook49247

• ClustProject/KUDataOutlier

  이상치 탐지 전처리 모듈

  Language:Jupyter Notebook4528

• ClustProject/KUDataPreprocessing

  고려대학교 제공 데이터 및 전처리

  Language:Python158

• mirams/ephys-reading-help

  To make reading easier for modellers. It's not an encyclopedia.

  11

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2.1k239

• hoi-hoi-hoi/spring-study

  Language:Java11

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k3.4k

• Divyanshupy/CLASS-ACTIVATION-MAPS

  This repository contains the code explaining the class activation maps

  Language:Jupyter Notebook115

• CardiacModelling/FourWaysOfFitting

  Code to compare four different ways to fit an ion current model

  Language:Python43

• seopbo/flask101

  깔끔한 파이썬 탄탄한 백엔드 소스코드 정리

  Language:Python413

• choonghyunryu/dlookr

  Tools for Data Diagnosis, Exploration, Transformation

  Language:R21135