labmlai/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
This tool helps deep learning practitioners track the progress and performance of their model training experiments. You feed it your deep learning code, and it provides real-time updates on metrics like loss and accuracy, along with detailed hardware usage, viewable from your phone or laptop. It's designed for machine learning engineers and researchers who need to efficiently monitor their ongoing deep learning tasks.
2,300 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a deep learning engineer running multiple experiments and need a simple, real-time way to monitor model training progress and hardware resource consumption.
Not ideal if you are looking for a complex, enterprise-level MLOps platform with advanced features like model versioning, deployment, or hyperparameter optimization beyond basic tracking.
Stars
2,300
Forks
149
Language
Python
License
MIT
Category
Last pushed
Apr 10, 2025
Commits (30d)
0
Dependencies
3
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