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

project page for creating a guide to reproducible research

Example workflows for the drake R package

dcmjs is a javascript cross-compile of dcmtk (dcmtk.org).

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

A minimal example data analysis project with the targets R package

Open Source Photometric classification https://supernnova.readthedocs.io

Avalanche: a End-to-End Library for Continual Learning.

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:

Collection of popular and reproducible image denoising works.

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

A robust, extensible metagenomics pipeline

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

🚀 Build and manage real-life data science projects with ease!

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

Curated set of transformers that make your work with steppy faster and more effective 🔭

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

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

Generate custom Docker and Singularity images, and minimize existing containers

A platform for end-to-end development of machine learning solutions in biomedical imaging

papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.

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

MEX Vocabulary: a lightweight machine learning interchange format

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:

📓 Non-parametric Bayesian Inference for Conservation Decisions

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

IMS Machine Learning Lab publications.

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Rmarkdown templates for reproducible science

Cross-disease comparison of case-control gut microbiome studies

Track changes in data with ease

Scientific reports/literate programming for Julia

Experiments for understanding disentanglement in VAE latent representations

WRENCH: Cyberinfrastructure Simulation Workbench

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

#nowplaying-RS: Music Recommendation using Factorization Machines

A research tool for the Iterated Prisoner's Dilemma

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

Cookbook examples for the Insight Toolkit documented with Sphinx

Presentation-Ready Data Summary and Analytic Result Tables

Reproducible Science: what, why, how

An R-focused pipeline toolkit for reproducibility and high-performance computing

Open Plant Pathology website

Workflow Description Language - Specification and Implementations

An R package for storing and retrieving data.frames in git repositories.

Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

Platform for integrating genomic analysis with Jupyter Notebooks.

A Deep Learning Approach to Ultrasound Image Recovery

Effortless method to record provenance in Python

awesome open list of pointers about open science for software and computational science

R package to interface with OpenML

Functional workflows

Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib.

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:

An R package for data screening

JavaScript VisualizationTools

Function-oriented Make-like declarative workflows for R

Singularity: Application containers for Linux

Lightweight, Python library for fast and reproducible experimentation 🔬

Statistical Analysis of RNA-Seq Tools

An R package to create styled tables in multiple output formats, with a friendly, modern interface.