ShiftKit

Ciprijanovic, Aleksandra [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (0000000312817192); Helal, Abdelrahman M. [Minerva University]; Tame-Narvaez, Karla [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (0000000222499450)

doi:10.11578/dc.20260717.7

DOE OSTI · code-186253

ShiftKit

Ciprijanovic, Aleksandra [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (0000000312817192)·Helal, Abdelrahman M. [Minerva University]·Tame-Narvaez, Karla [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (0000000222499450)

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Abstract

ShiftKit is a modular, science-focused domain adaptation framework for PyTorch, built around clean interfaces for fast implementation of different deep learning architectures, datasets, and domain adaptation methods.

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Ciprijanovic, Aleksandra [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (0000000312817192), Helal, Abdelrahman M. [Minerva University], Tame-Narvaez, Karla [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (0000000222499450). 2026-07-17. ShiftKit. https://doi.org/10.11578/dc.20260717.7

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