kgeyer

kgeyer's Stars

• Homebrew/brew

  🍺 The missing package manager for macOS (or Linux)

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• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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• James-Yu/LaTeX-Workshop

  Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

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• pymc-devs/pymc

  Bayesian Modeling and Probabilistic Programming in Python

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• pymc-devs/pymc-resources

  PyMC educational resources

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• pymc-devs/pymc4

  Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

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• rocker-org/rocker-versioned2

  Run current & prior versions of R using docker. rocker/r-ver, rocker/rstudio, rocker/shiny, rocker/tidyverse, and so on.

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• bellingcat/open-questions

  Want to contribute? These are difficult, long-term projects that could be valuable to open source investigators at Bellingcat and around the world.

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• jmcglone/jmcglone.github.io

  Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.

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• HelenaLC/muscat

  Multi-sample multi-group scRNA-seq analysis tools

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• campbio/celda

  Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data

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• jayelm/hoff-bayesian-statistics

  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

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• springcoil/probabilisticprogrammingprimer

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• SymbolixAU/r_docker_hello

  A simple hello world R-docker example

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• jhuggins/viabel

  Efficient, lightweight variational inference and approximation bounds

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• shahcompbio/MultiModalMuSig.jl

  A Julia package for extracting mutation signatures using topic models

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• jackyzyb/bayesian-coresets-optimization

  Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).

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• Siahkamari/Piecewise-linear-regression

  this repository does regression and classification with d.c. functions and compares with other methods.

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• AlexandrovLab/SigProfilerExtractorR

  An R wrapper for SigProfilerExtractor that allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

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• campbio/musicatk

  Mutational Signature Comprehensive Analysis Toolkit

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• antoine-sachet/rocker-ML

  Dockerfiles for ML with R - built on top of Rocker

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• ben18785/ml-mcmc-convergence

  Describes a method for monitoring MCMC convergence using ML

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• lejon/DiagonalOrthantLDA

  Supervised Latent Dirichlet Allocation (LDA) using Diagonal Orthant (DO) DO-Probit classification

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• tpapp/cmdstan-docker

  Docker container with CmdStan installed.

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• joshspeagle/typical_sets

  Outlining the role of typical sets in (MCMC) sampling

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• campbio/BAGEL

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• campbio/DevelExample

  A basic R package to demonstrate a cycle of code development

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• campbio/musictk

  Mutational Signature Comprehensive Toolkit (MusicTK)

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• stephensrmmartin/cmdstan

  CmdStan, the command line interface to Stan

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• stephensrmmartin/cmdstanr

  CmdStanR: the R interface to CmdStan

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