Open Source Experiment Management Tools
A super-easy way to record, search and compare AI experiments.
License: Apache License 2.0
High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing.
License: Apache License 2.0
Auto-Magical Experiment Manager & Version Control for AI (previously Trains).
License: Apache License 2.0
A git fork that allows for version management of models.
License: Apache License 2.0
An open-source platform and cross-platform desktop application to execute, track, and debug modern machine learning experiments.
License: MIT License
Easy to use logger and automatic version controller made for data scientists who write ML code.
License: Apache License 2.0
Open source toolkit that automates and optimizes machine learning experiments.
License: Apache License 2.0
Version control for machine learning.
License: Apache License 2.0
Repeatable, atomic and versioned data lake on top of object storage.
License: Apache License 2.0
Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment.
License: Apache License 2.0
An open-source Python library that allows you to version, export, and save a machine learning model to your cloud storage provider.
License: Apache License 2.0
A platform for reproducible and scalable machine learning and deep learning on kubernetes - (Video) .
License: Apache License 2.0
Versioning, reproducibility and deployment of data and models.
License: Apache License 2.0
Model management framework which minimizes the overhead involved with scheduling, running, monitoring and managing artifacts of your machine learning experiments.
License: Apache License 2.0
A graph database management system that stores data like git.
License: Apache License 2.0
Last Updated: Dec 26, 2023