elehcimd/mltraq
Track and Collaborate on ML & AI Experiments.
This tool helps machine learning and AI developers organize, run, and share their experimental work. It takes your experiment parameters, code, and results as input, providing a structured way to track what you've done. This is designed for ML/AI developers who are constantly iterating on models and need to keep their work reproducible and easy to share with teammates.
No commits in the last 6 months. Available on PyPI.
Use this if you are an ML/AI developer who needs to systematically track different versions of your models, data, and training runs to ensure reproducibility and facilitate collaboration.
Not ideal if you are a non-technical user looking for a low-code platform to build or deploy ML models without needing to manage underlying experimental details.
Stars
44
Forks
2
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Mar 10, 2025
Commits (30d)
0
Dependencies
8
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