There are 27 repositories under reproducible-research topic.
A Collection of Variational Autoencoders (VAE) in PyTorch.
A DSL for data-driven computational pipelines
Collection of popular and reproducible image denoising works.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
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
Experiments for understanding disentanglement in VAE latent representations
A research tool for the Iterated Prisoner's Dilemma
rrtools: Tools for Writing Reproducible Research in R
GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
A workflow for reproducible and open scientific articles
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb
Generate custom Docker and Singularity images, and minimize existing containers