reproducibility
There are 957 repositories under reproducibility topic.
iterative/dvc
🦉 Data Versioning and ML Experiments
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
catalyst-team/catalyst
Accelerated deep learning R&D
snakemake/snakemake
This is the development home of the workflow management system Snakemake. For general information, see
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Cloud-CV/EvalAI
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
the-nix-way/dev-templates
Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]
MLReef/mlreef
The collaboration workspace for Machine Learning
joedicastro/vps-comparison
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 that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.
ropensci/drake
An R-focused pipeline toolkit for reproducibility and high-performance computing
nix-community/dream2nix
Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
ddsjoberg/gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
ropensci/targets
Function-oriented Make-like declarative workflows for R
MaurizioFD/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.
DavHau/mach-nix
Create highly reproducible python environments
openwdl/wdl
Specification for the Workflow Description Language (WDL).
tidyverse/reprex
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
tweag/jupyenv
Declarative and reproducible Jupyter environments - powered by Nix
ptrsr/pi-ci
Prepare Raspberry Pi 3, 4 & 5 configurations using a virtual machine.
benmarwick/rrtools
rrtools: Tools for Writing Reproducible Research in R
grok-ai/nn-template
Generic template to bootstrap your PyTorch project.
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
kwotsin/mimicry
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
henripal/labnotebook
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
NVIDIA/framework-reproducibility
Providing reproducibility in deep learning frameworks
mit-ll-responsible-ai/hydra-zen
Create powerful Hydra applications without the yaml files and boilerplate code.
bwplotka/bingo
Like `go get` but for Go tools! CI Automating versioning of Go binaries in a nested, isolated Go modules.
leipzig/awesome-reproducible-research
A curated list of reproducible research case studies, projects, tutorials, and media
snakemake-workflows/rna-seq-star-deseq2
RNA-seq workflow using STAR and DESeq2
VIDA-NYU/reprozip
ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.
datmo/datmo
Open source production model management tool for data scientists