reproducibility topic

Accelerated deep learning R&D

catalyst-team

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

Cloud-CV

🦉 ML Experiments and Data Management with Git

iterative

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

chenchongthu

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

ashleve

Generic template to bootstrap your PyTorch project.

grok-ai

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

IDSIA

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.

MaurizioFD

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

ropensci

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...

joedicastro