reproducibility

🦉 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

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

This is the development home of the workflow management system Snakemake. For general information, see

A toolkit for reproducible reinforcement learning research.

☁️ 🚀 📊 📈 Evaluating state of the art in AI

The collaboration workspace for Machine Learning

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.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

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

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.

Presentation-Ready Data Summary and Analytic Result Tables

Create highly reproducible python environments

Function-oriented Make-like declarative workflows for R

Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

High-fidelity performance metrics for generative models in PyTorch

Workflow Description Language - Specification and Implementations

rrtools: Tools for Writing Reproducible Research in R