merlin-sok


Namemerlin-sok JSON
Version 2.1.0 PyPI version JSON
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home_pagehttps://github.com/NVIDIA-Merlin/HugeCTR/tree/master/sparse_operation_kit
SummarySparseOperationKit (SOK) is a python package wrapped GPU accelerated operations dedicated for sparse training / inference cases.
upload_time2024-06-14 05:19:29
maintainerNone
docs_urlNone
authorNVIDIA
requires_python>=3
licenseApache 2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            SparseOperationKit (SOK) is a python package wrapped GPU accelerated operations dedicated for sparse training / inference cases. It is designed to be compatible with common DeepLearning (DL) frameworks, for instance, TensorFlow. Most of the algorithm implementations in SOK are extracted from HugeCTR, which is a GPU-accelerated recommender framework designed to distribute training across multiple GPUs and nodes and estimate Click-Through Rates (CTRs). If you are looking for a very efficient solution for CTRs, please check HugeCTR.


            

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