lightforever/mlcomp
Distributed DAG (Directed acyclic graph) framework for machine learning with UI
This tool helps machine learning engineers and researchers manage complex training workflows, especially for computer vision projects. You input your machine learning code and data, and it orchestrates distributed training and inference across multiple machines. The output is well-managed experiment runs, resource monitoring, and easy comparison of results, all viewable through a user-friendly interface.
190 stars. No commits in the last 6 months.
Use this if you need to run machine learning experiments and data pipelines in a distributed environment, require a visual way to track progress, and want to manage computational resources effectively.
Not ideal if you are working on small, single-machine machine learning projects or do not require distributed processing and experiment tracking features.
Stars
190
Forks
26
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 10, 2020
Commits (30d)
0
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