lsds/Tempo
Tempo is a system for declarative, efficient, end-to-end compiled dynamic deep learning
Tempo helps machine learning engineers optimize their deep learning models, especially those with dynamic, changing structures. It takes your existing deep learning models and compiles them for more efficient execution. The end result is faster and more resource-effective model performance, particularly beneficial for those working with large language models or reinforcement learning applications.
Use this if you are a machine learning engineer or researcher dealing with complex deep learning models that need performance optimization for dynamic computations.
Not ideal if you are working with static, pre-trained models where performance is already satisfactory, or if you are not comfortable with advanced deep learning compilation techniques.
Stars
28
Forks
3
Language
Python
License
MIT
Category
Last pushed
Oct 21, 2025
Commits (30d)
0
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