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

MLOS is a project to enable autotuning for systems.

The official evaluation suite and dynamic data release for MixEval.

Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

NPBench - A Benchmarking Suite for High-Performance NumPy

Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

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

The greatest collection of the worst code

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

Command execution time meter

Telco pIPeline benchmarking SYstem

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.

Benchmarking machine learning inferencing on embedded hardware.

Write Benchmarks like Tests

PHP Micro & Router Framework Benchmark

CLAMH (Cross-LAnguage Microbenchmark Harness) is a language-independent benchmark harness design and the implementation of that design for different languages.

A library to measure and profile some metrics of your code (execution time, average execution time, garbage collections)

Framework for benchmarking deep learning operators for Apache MXNet