dessa-oss/atlas
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
Atlas is a self-hosted platform designed to streamline the deep learning model development process for machine learning engineering teams. It allows users to manage and schedule machine learning jobs, track experiments, and ensure reproducibility. Data scientists and ML engineers can use it to turn their raw data and models into validated, traceable deep learning outcomes.
292 stars. No commits in the last 6 months.
Use this if your machine learning engineering team needs a flexible, self-hosted platform to manage deep learning experiments, schedule jobs, and accelerate model development.
Not ideal if you are an individual data scientist working on small, isolated projects and do not require collaborative job scheduling or extensive experiment tracking.
Stars
292
Forks
46
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 13, 2023
Commits (30d)
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