experiment-tracking

A Python framework for creating reproducible, maintainable and modular data science code.

Aim 💫 — An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing)

🏕️ Reproducible development environment for AI/ML

Machine Learning automation and tracking

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

Code for Kaggle and Offline Competitions

A Clojure machine learning library

SEML: Slurm Experiment Management Library

Metadata store for Production ML

Deploy MLflow with HTTP basic authentication using Docker

GitHub Action That Retrieves Model Runs From Weights & Biases

More light-weight pytorch experiment management library!

A powerful and easy to use Python framework for experiment tracking and incremental computing

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

2 Lines of code to track ML experiments + EDA + check into Github

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

Custom ML tracking experiment and debugging tools.

The Python Component System (PCS) is an API and CLI for building, running, and sharing Python code. AgentOS is a set of libraries built on top of PCS that make it easy to build, run, and share agents that use Reinforcement Learning.

Lightning Talk about sacred at PyData Berlin

CmdInterface enables detailed logging of command line and python experiments in a very lightweight manner (coding wise). It wraps your command line or python function calls in a few lines of python code and logs everything you might need to reproduce the experiment later on or to simply check what you did a couple of years ago.