Tau bench 数据 集

DEVELOPMENT WARNING: This utility is under development and may not yet be functional. Hangar is version control for tensor data. Commit, branch, merge, revert, andcollaborate in the data-defined software era.

benchmark for database. python self_benchmark.py. python client_kafka_python.py -h x.x.xx -l 100 -r 100000 -n 1. python *.py --help.

Threads benchmark code for Takipi blog. Threads benchmark code for Takipi blog.

Several quick and simple benchmarks for real-world NYC Taxi dataset. Results here. The TPC-H is a decision support benchmark, as one of industry benchmark standards. Results here.

Datasets históricos del Índice Merval (^MERV) de Argentina desde 1988 hasta 2016 Scrapeado de diversas fuentes. Dataset completo del Indice Merval de Argentina desde 1988 hasta 2016 Scrapeado de diversas fuentes.

Halstead Metrics via Google App Engine. Halstead Metrics was implemented in Google App Engine.

The goal of the alliance is provide selection reference for application companies,and provide third-party evaluation results for chip companies. The goal of AIIA DNN benchmarks is to objectively reflect the current state of AI accelerator capabilities,and all metrics are designed to provide an objective comparison dimension.

Distributed training with Batch AI. Batch AI enables easy cluster provisioning and job scheduling with deep learningframeworks in mind (CNTK, Tensorflow). To get started, refer to Provision Clusters and Run Jobs.