The official evaluation suite and dynamic data release for MixEval.
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Updated
Jul 12, 2024 - Python
The official evaluation suite and dynamic data release for MixEval.
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.
NPBench - A Benchmarking Suite for High-Performance NumPy
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
Benchmarking machine learning inferencing on embedded hardware.
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Telco pIPeline benchmarking SYstem
Framework for benchmarking deep learning operators for Apache MXNet
Benchmarking optimization solvers.
A framework for benchmarking in python
How To Measure And Improve Code Efficiency with Pytest Benchmark (The Ultimate Guide)
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