There are 1 repository under benchmarking-framework topic.
GERBIL - General Entity annotatoR Benchmark
Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
A guidance for the design and evaluation of motion planners for quadrotors in Environments with Varying Complexities
Arline Benchmarks platform allows to benchmark various algorithms for quantum circuit mapping/compression against each other on a list of predefined hardware types and target circuit classes
SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.
The greatest collection of the worst code
Benchmarking machine learning inferencing on embedded hardware.
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
Command execution time meter
PHP Micro & Router Framework Benchmark
A library to measure and profile some metrics of your code (execution time, average execution time, garbage collections)
Benchmarking optimization solvers.
Framework for benchmarking deep learning operators for Apache MXNet
Observatory is an extensible Java framework for benchmarking InfiniBand verbs implementations.
A client-server code to bench-mark dpdk in different configurations
An open-source benchmarking library for swift
PARROT (Performance Assessment of Reasoning and Responses On Trivia) is a novel benchmarking framework designed to evaluate Large Language Models (LLMs) on real-world, complex, and ambiguous QA tasks.
In network latency measurement for C++ applications
How To Measure And Improve Code Efficiency with Pytest Benchmark (The Ultimate Guide)
Use Emacs to run benchmarks and to collect data