wkopp

wkopp's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84k1.7k46.6k22.6k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k2452.5k3.3k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22k5102368.5k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k2001.1k986

• py-why/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.

  Language:Python7.1k139478933

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.2k6625556

• rmcelreath/rethinking

  Statistical Rethinking course and book package

  Language:R2.2k114369606

• arviz-devs/arviz

  Exploratory analysis of Bayesian models with Python

  Language:Python1.6k49862407

• theislab/single-cell-tutorial

  Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

  Language:Jupyter Notebook1.4k45101459

• paul-buerkner/brms

  brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

  Language:R1.3k451.5k184

• avehtari/BDA_py_demos

  Bayesian Data Analysis demos for Python

  Language:Jupyter Notebook996561300

• MareesAT/GWA_tutorial

  A comprehensive tutorial about GWAS and PRS

  8352724327

• avehtari/BDA_R_demos

  Bayesian Data Analysis demos for R

  Language:HTML567371206

• pachterlab/ffq

  A tool to find sequencing data and metadata from public databases.

  Language:Python551135047

• fehiepsi/rethinking-numpyro

  Statistical Rethinking (2nd ed.) with NumPyro

  Language:Jupyter Notebook447131473

• bioFAM/MOFA2

  Multi-Omics Factor Analysis

  Language:R3051413752

• blei-lab/onlineldavb

  Online variational Bayes for latent Dirichlet allocation (LDA)

  Language:Python300512102

• bioFAM/MOFA

  Multi-Omics Factor Analysis

  Language:R235276460

• theislab/diffxpy

  Differential expression analysis for single-cell RNA-seq data.

  Language:Python193718823

• aertslab/SCENICprotocol

  A scalable SCENIC workflow for single-cell gene regulatory network analysis

  Language:Python143126262

• theislab/sc-pert

  Models and datasets for perturbational single-cell omics

  Language:Jupyter Notebook1435412

• saezlab/dorothea

  R package to access DoRothEA's regulons

  Language:R133154827

• theislab/scib-pipeline

  Snakemake pipeline that works with the scIB package to benchmark data integration methods.

  Language:Python6674527

• theislab/scib-reproducibility

  Additional code and analysis from the single-cell integration benchmarking project

  Language:Jupyter Notebook5461013

• bedapub/besca

  BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis

  Language:Python491011416

• BIMSBbioinfo/maui

  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

  Language:Jupyter Notebook48151120

• heiniglab/scPower

  Experimental design framework for scRNAseq population studies (eQTL and DE)

  Language:R452235

• vdorie/stan4bart

  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

  Language:C++405134

• jmg764/Attention-Based-Deep-Multiple-Instance-Learning

  Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data parallelism toolkit.

  Language:Jupyter Notebook19214

• BIMSBbioinfo/pigx_sars-cov-2

  PiGx SARS-CoV-2 wastewater sequencing pipeline

  Language:Python189923