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Topic · reproducibility

reproducibility

Tracked open-source repos tagged reproducibility, sorted by stars.

Repos
24
Total stars
65,934
Avg. stars
2,747
Share
0.00%

Topics that frequently appear alongside reproducibility on the same repo.

Recent risers

Repos created in the last 90 days, tagged reproducibility.

  • trace-file-lineage@uczltw6

    Find which script, notebook, data, command, or AI agent produced a file — locally, with evidence and honest uncertainty.

    15
  • dvc@treeverse

    🦉 Data Versioning and ML Experiments

    15,856+7Star change over the last 7 days
  • wandb@wandb

    The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

    11,249+4Star change over the last 7 days
  • PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

    5,339-1Star change over the last 7 days
  • sacred@IDSIA

    Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

    4,376+2Star change over the last 7 days
  • catalyst@catalyst-team

    Accelerated deep learning R&D

    3,382+0Star change over the last 7 days
  • snakemake@snakemake

    This is the development home of the workflow management system Snakemake. For general information, see

    2,857+4Star change over the last 7 days
  • YC-Killer@sahibzada-allahyar

    A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.

    2,806+7Star change over the last 7 days
  • dev-templates@the-nix-way

    Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]

    2,345+4Star change over the last 7 days
  • EvalAI@Cloud-CV

    :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

    2,037-2Star change over the last 7 days
  • benchmark_VAE@clementchadebec

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

    1,996+1Star change over the last 7 days
  • drake@ropensci

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

    1,342+0Star change over the last 7 days
  • dream2nix@nix-community

    Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]

    1,265+0Star change over the last 7 days
  • gtsummary@ddsjoberg

    Presentation-Ready Data Summary and Analytic Result Tables

    1,210+2Star change over the last 7 days
  • torch-fidelity@toshas

    High-fidelity performance metrics for generative models in PyTorch

    1,200+1Star change over the last 7 days
  • ClawBio@ClawBio

    🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.

    1,125+5Star change over the last 7 days
  • bernstein@sipyourdrink-ltd

    The open‑source AI Agents Governance & Orchestration framework: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run

    1,110+84Star change over the last 7 days
  • targets@ropensci

    Function-oriented Make-like declarative workflows for R

    1,096+1Star change over the last 7 days
  • mach-nix@DavHau

    Create highly reproducible python environments

    887-1Star change over the last 7 days
  • wdl@openwdl

    Specification for the Workflow Description Language (WDL).

    856+0Star change over the last 7 days
  • reprex@tidyverse

    Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

    754+1Star change over the last 7 days
  • pi-ci@ptrsr

    Prepare Raspberry Pi 3, 4 & 5 configurations using a virtual machine.

    753+0Star change over the last 7 days
  • jupyenv@tweag

    Declarative and reproducible Jupyter environments - powered by Nix

    745+1Star change over the last 7 days
  • rrtools@benmarwick

    rrtools: Tools for Writing Reproducible Research in R

    721+0Star change over the last 7 days
  • Quantus@understandable-machine-intelligence-lab

    [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

    674+0Star change over the last 7 days
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