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#

experiment-tracking

Here are 109 public repositories matching this topic...

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  • UpdatedJul 18, 2025
  • Python

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

  • UpdatedJul 18, 2025
  • Python
kedro-viz

Visualise your Kedro data and machine-learning pipelines and track your experiments.

  • UpdatedJul 18, 2025
  • JavaScript
mandala

A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python

  • UpdatedJan 14, 2025
  • Jupyter Notebook

Code for Kaggle and Offline Competitions

  • UpdatedSep 10, 2023
  • Python

A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

  • UpdatedJul 16, 2024

Deploy MLflow with HTTP basic authentication using Docker

  • UpdatedJun 24, 2025
  • Shell
sdk

More light-weight pytorch experiment management library!

  • UpdatedApr 9, 2023
  • Python

GitHub Action That Retrieves Model Runs From Weights & Biases

  • UpdatedMar 14, 2022
  • Python
VevestaXcascade

Lightweight and modular MLOps library targeted at small teams or individuals

  • UpdatedJun 8, 2025
  • Python

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