RJT1990/mantra
A high-level, rapid development framework for machine learning projects
This project helps deep learning practitioners manage their machine learning development workflow by automating cloud instance provisioning for training, tracking experiments, and visualizing results. You provide your datasets and model code, and it handles the infrastructure and monitoring. The primary users are machine learning engineers or researchers working with deep learning models.
344 stars. No commits in the last 6 months.
Use this if you are a deep learning practitioner who wants to streamline experiment tracking, manage cloud resources for model training, and easily compare different model versions and results.
Not ideal if you are working on traditional machine learning models without deep learning frameworks, or if you prefer manual infrastructure setup and do not need automated experiment tracking.
Stars
344
Forks
22
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 27, 2023
Commits (30d)
0
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