[D] How to properly version control ML models amid rapid experimentation?

• keepsake

  4 1,637 0.0 Python

  Version control for machine learning

  

Keepsake

• dvc

  109 13,166 9.6 Python

  🦉 ML Experiments and Data Management with Git

  

DVC, which appears tangential since my question pertains more to models, not data

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• guildai

  16 858 8.8 Python

  Experiment tracking, ML developer tools

  

Guild AI (I'm the creator so my take here aligns quite closely with that tool!) separates the concerns of tracking runs from tracking source code revisions (they are of course quite different) and lets you run scripts as you like without worrying about manual syncing or git commits. Guild though is just an example of this approach - it's the practice that matters and not the specific toolset. You can make any system atomic like this with some automation layers.

• aim

  70 4,816 8.0 Python

  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

  

I'll add something I discovered today: https://aimstack.io/

Suggest a related project