mlop
open-source ML Experiment Tracking. mlop has 8 repositories available. Follow their code on GitHub. We built mlop ( https://mlop.ai ), a fully open source ( https://github.com/mlop-ai ) ML experiment tracking platform, much like Weights & Biases.
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Echo
news.ycombinator.comFable-level results at 1/3 the cost using open-weight models
Traceo is now open source
github.comTraceo has 3 repositories available. Follow their code on GitHub.
Open-source AI data generator (now hosted)
metabase.comA few months ago we shared our AI dataset generator as an open source repo, and the response was incredible ( https://news.ycombinator.com/item?id=44388093 ).
for Local Models
I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc...