143 Open source projects that are alternatives of or similar to FGMachine

Short course on reproducible science: what, why, how

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ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Papers with code for single cell related papers

NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach

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Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!

Fully reproducible, open source scientific articles in LaTeX.

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Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing

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Package an R workspace and all dependencies as a Docker container

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A minimal example data analysis project with the targets R package

Android application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:

#nowplaying-RS: Music Recommendation using Factorization Machines

CK repository with components and automation actions to enable portable workflows across diverse platforms including Linux, Windows, MacOS and Android. It includes software detection plugins and meta packages (code, data sets, models, scripts, etc) with the possibility of multiple versions to co-exist in a user or system environment:

Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

A set of tools for R that enhance reproducibility beyond package management

Collective Knowledge web extension to browse CK repositories, visualize interactive graphs and articles, render CK-based websites, implement simple web services with JSON API (for example to crowdsource experiments or unify access to DNN). Demos of interactive articles, graphs and crowdsourced experiments:

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Cookbook examples for the Insight Toolkit documented with Sphinx

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Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

Best practices for applying machine learning to bacterial 16S rRNA gene sequencing data

DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates

A builder for LaTeX, knitr, literate Agda, literate Haskell and Pweave that automatically builds dependencies.

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

📓 Non-parametric Bayesian Inference for Conservation Decisions

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

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Chain simple surveys into longer runs to build complex studies. Use R to generate pretty feedback and complex designs.

The open source toolbox for reproducible diffusion MRI-based microstructure estimation

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WRENCH: Cyberinfrastructure Simulation Workbench

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Open Plant Pathology website

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

IMS Machine Learning Lab publications.

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