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Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
Build large-scale task workflows: luigi + job submission + remote targets + environment sandboxing using Docker/Singularity
Scientific numbers with multiple uncertainties and correlation-aware, gaussian propagation and numpy support.
Pythonic class collection that helps you structure external data from LHC / HEP experiments.
TensorFlow implementation of the Lorentz Boost Network (LBN).
Python port of the extended Node.js EventEmitter 2 approach providing namespaces, wildcards and TTL.
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