reproducible-research topic
ENMF
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.
metaflow
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
grand-challenge.org
A platform for end-to-end development of machine learning solutions in biomedical imaging
awesome-mecheng
Awesome Mechanical Engineering Resources
sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
RecSys2019_DeepLearning_Evaluation
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.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
nextflow
A DSL for data-driven computational pipelines
drake
An R-focused pipeline toolkit for reproducibility and high-performance computing
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.