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.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
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.
Visualise your Kedro data and machine-learning pipelines and track your experiments.
A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python
Code for Kaggle and Offline Competitions
A Clojure machine learning library
SEML: Slurm Experiment Management Library
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Experiment tracking server focused on speed and scalability
Deploy MLflow with HTTP basic authentication using Docker
Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs
PyTorch Template for DL projects
Metadata store for Production ML
More light-weight pytorch experiment management library!
Action That Retrieves Model Runs From Weights & Biases
MLOps for deploying a Credit Risk model
2 Lines of code to track ML experiments + EDA + check into
A curated list of awesome open source and commercial MLOps platforms 🚀
Lightweight and modular MLOps library targeted at small teams or individuals
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