Description: by Christian S. Perone
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by Christian S. Perone
I just released Feste , a free and open-source framework with a permissive license that allows scalable composition of NLP tasks using a graph execution model that is optimized and executed by specialized schedulers. The main idea behind Feste is that it builds a graph of execution instead of executing tasks immediately, this graph allows Feste to optimize and parallelize it. One main example of optimization is when we have multiple calls to the same backend (e.g. same API), Feste automatically fuses these
Project page : https://feste.readthedocs.io/en/latest/design.html Github : https://github.com/perone/feste