Reproducibility

hydraPython

A framework for elegantly configuring complex applications, particularly in machine learning and research.

polyaxon

An open-source platform for building, training, and monitoring large-scale deep learning applications with full lifecycle MLOps.

Catalyst: High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusingPython

A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.

DeterminedGo

An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.

garage - A toolkit for reproducible reinforcement learning researchPython

A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.

dream2nixNix

A modular framework for automated, reproducible Nix packaging across multiple programming language ecosystems.

ClawBioPython

A bioinformatics-native AI agent skill library for reproducible, local-first genomic analysis, built on OpenClaw.

reprexR

An R package that creates reproducible examples from R code for sharing on GitHub, Stack Overflow, Slack, and other platforms.

JupyterWithNix

A Nix-based framework for creating declarative and reproducible Jupyter environments with configurable kernels and extensions.

open-solution-home-creditPython

An open-source machine learning solution for the Home Credit Default Risk Kaggle competition, providing reproducible code and experiments.

PopperPython

A container-native workflow engine for defining and executing testing and automation tasks in Docker and other container runtimes.

DVClivePython

A Python library for logging ML metrics, parameters, and models in simple file formats, compatible with DVC and Git.

CometMLJupyter Notebook

A collection of examples demonstrating how to use Comet.ml for machine learning experiment tracking across various Python frameworks.

steppyPython

A lightweight Python library for building reproducible machine learning pipelines with minimal interface constraints.

ezknitrR

An R package that extends knitr to provide flexible control over working directories and output paths when generating dynamic reports.