There are 23 repositories under reproducibility topic.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Accelerated deep learning R&D
A toolkit for reproducible reinforcement learning research.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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.
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.
High-fidelity performance metrics for generative models in PyTorch
Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]
rrtools: Tools for Writing Reproducible Research in R
Generic template to bootstrap your PyTorch project.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Open solution to the Home Credit Default Risk challenge :house_with_garden:
Providing reproducibility in deep learning frameworks
RNA-seq workflow using STAR and DESeq2
A curated list of reproducible research case studies, projects, tutorials, and media
PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.