reproducible-research topic

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

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

Netflix

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

comic

Awesome Mechanical Engineering Resources

m2n037

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

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

JavierAntoran

A DSL for data-driven computational pipelines

nextflow-io

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

ropensci

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

clementchadebec

A Collection of Variational Autoencoders (VAE) in PyTorch.

AntixK