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- A modular suite for benchmarking all stages of Machine Learning pipelines. To find bottlenecks in such pipelines and compare different ML tools, this framework can calculate and visualize several metrics in the data preparation, model training, model validation and inference stages.
DESengine
PublicHDP-Code-Examples
PublicGhostwriter
Publicinferdb
Publicrmg-sort
Publicstork
Publicvectorized-hash-tables
PublicBDL
Publicbabelmr-applications
Publicautovec-db
Publicmmlib-multi
Publicmexico-flink-tutorial
Publicperma-bench
Publicpmem-olap
Publicmulti-gpu-sorting
Publicmmlib
Publicviper
Publicthesis-proposal-template
Publicpmem-nvme-dropin
Publicdisco
Publicmp-ddsp-ws20
Publicfonda-flink-tutorial
Publicthesis-template
Publiczeus
PublicWALT
PublicA realistic and efficient load generator for web applications, developed during a Bachelor's project at the DES chair, Hasso-Plattner-Institute.PDGF-UI
PublicPerformance-Data-Storage
PublicRequest-Generator
PublicConfiguration-UI
Public