:rocket: Build and manage real-life ML, AI, and data science projects wi...
A Collection of Variational Autoencoders (VAE) in PyTorch.
Sacred is a tool to help you configure, organize, log and reproduce expe...
A DSL for data-driven computational pipelines
Collection of popular and reproducible image denoising works.
FMA: A Dataset For Music Analysis
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Loca...
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state...
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurI...
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, s...
An R-focused pipeline toolkit for reproducibility and high-performance c...
This is the repository of our article published in RecSys 2019 "Are We R...
Presentation-Ready Data Summary and Analytic Result Tables
High-fidelity performance metrics for generative models in PyTorch
Function-oriented Make-like declarative workflows for R