lambdazy/lzy
Platform for a hybrid execution of ML workflows that transparently integrates local and remote runtimes
This tool helps machine learning engineers and data scientists run their complex ML models more efficiently. It allows you to develop your machine learning code on your local computer and then seamlessly run those same models on powerful remote servers or cloud resources. You provide your Python ML functions, and it handles the underlying infrastructure to give you trained models or predictions back, speeding up your experimentation and deployment.
No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist who needs to train large models or run many experiments on more powerful hardware than your local machine, without rewriting your code for cloud platforms.
Not ideal if your machine learning tasks are small enough to run entirely on your local computer or if you prefer to manage all cloud infrastructure manually.
Stars
72
Forks
3
Language
Java
License
—
Category
Last pushed
May 24, 2024
Commits (30d)
0
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