There are 15 repositories under reproducibility topic.
🦉Data Version Control | Git for Data & Models | ML Experiments Management
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Accelerated deep learning R&D
A toolkit for reproducible reinforcement learning research.
A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.
The collaboration workspace for Machine Learning
This is the development home of the workflow management system Snakemake. For general information, see
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
An R-focused pipeline toolkit for reproducibility and high-performance computing
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
Presentation-Ready Data Summary and Analytic Result Tables
Function-oriented Make-like declarative workflows for R
rrtools: Tools for Writing Reproducible Research in R
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Workflow Description Language - Specification and Implementations
Create highly reproducible python environments
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Generic template to bootstrap your PyTorch project.
Open solution to the Home Credit Default Risk challenge :house_with_garden:
High-fidelity performance metrics for generative models in PyTorch
Open source production model management tool for data scientists
declarative and reproducible Jupyter environments - powered by Nix
Container-native task automation engine.
ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.
PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.
RNA-seq workflow using STAR and DESeq2
A curated list of reproducible research case studies, projects, tutorials, and media
Tool for encapsulating, running, and reproducing data science projects
Renku provides a platform and tools for reproducible and collaborative data analysis.
Nixify software with less effort [maintainer=@DavHau]
This Snakemake pipeline implements the GATK best-practices workflow
Purely functional build system and package manager
Library for Variational Autoencoder benchmarking