Simple decorators for measuring Python methods execution time
-
Updated
Jan 19, 2021 - Python
Simple decorators for measuring Python methods execution time
The official implementation for our paper "A DBpedia-based Benchmark for Ontology-mediated Query Answering" @ ISWC'21. Paper: http://ceur-ws.org/Vol-2980/paper391.pdf
Cardinality Estimation Benchmark
Benchmarking Tool using Flexible I/O Tester (FIO) to test performance of IO operations in containerized environments.
A command-line utility for automatic containerized I/O benchmarking using FIO and NVMe-CLI
Benchmark of Cloud GPUs using Convolutional Neural Networks
Tool to benchmark your Azure subscription against CIS and it will remidiate from the non-compliant rules
📐 Results for the Ranking Metrics submission @ GLB 2022
Benchmarking GAMS - directly or interfaced through JuMP or Pyomo
Code for profiling entity matching tasks using the dimensions described in the following paper: Primpeli, Anna, and Christian Bizer. "Profiling entity matching benchmark tasks." Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020.
Green-DCC is a benchmark environment for evaluating dynamic workload distribution techniques for sustainable Data Center Clusters (DCC) using reinforcement learning and other control algorithms.
Benchmarking various NLP Engines for GovTech VICA
Optimizing Einstein Sum Implementation in PyTorch with Specialization, Path Searching, and GPU-Native Contraction
Benchmarking framework for machine learning with fNIRS
This research project at the University of Electro-Communications, Tokyo, uses Scikit-learn and Numpy to measure the Learning Parity with Noise problem's hardness. It offers efficient classifiers, concurrency support, testing with pytest, and advanced utilities for efficient development and debugging.
Python decorator for precise measurement of function execution time.
Python decorator for comprehensive monitoring of CPU, RAM, and I/O usage of functions.
Convenient functions not found in Python's Standard Library (regarding benchmarking, iterables, functional tools, operators and numba compilation)
Add a description, image, and links to the benchmarking topic page so that developers can more easily learn about it.
To associate your repository with the benchmarking topic, visit your repo's landing page and select "manage topics."