| Name | Version | Summary | date |
| attribench |
0.1.9 |
A benchmark for feature attribution techniques |
2024-03-06 09:36:36 |
| evoxbench |
1.0.4 |
A benchmark for NAS algorithms |
2024-02-29 15:47:33 |
| benchllama |
0.2.7 |
Benchmark your local LLMs. |
2024-02-22 11:33:19 |
| knows |
1.0.0 |
Property graph benchmark that creates graphs with specified node and edge numbers, supporting multiple output formats and visualization |
2024-01-28 22:22:41 |
| otbench |
0.24.1.7.1 |
Consistent benchmarks for evaluating optical turbulence strength models. |
2024-01-07 20:45:16 |
| timeitpoj |
0.1.11 |
yet another random library for measuring python performance |
2024-01-05 22:31:43 |
| vertibench |
0.1.1 |
A tool for benchmarking vertical federated learning algorithms, containing synthetic data split and data evaluation. |
2023-12-17 16:46:21 |
| debugging-benchmark |
0.0.1 |
|
2023-12-14 20:36:29 |
| osaca |
0.5.3 |
Open Source Architecture Code Analyzer |
2023-12-12 18:24:23 |
| wxbs-benchmark |
0.0.4 |
Code for benchmarking image matchers on WxBS dataset |
2023-10-31 14:28:52 |
| text-correction-benchmarks |
0.2.0 |
Benchmarks and evaluation tools for text correction tasks |
2023-10-25 14:34:11 |
| tablespoon |
0.5.1 |
Simple probabilistic time series benchmark models |
2023-10-20 21:35:41 |
| timexwiz |
1.0.1 |
Timexwiz is a simple Python library for time measure, benchmarking and algorithm comparisons. |
2023-10-08 13:34:06 |
| FrameBench |
2.0.1 |
A Benchmark for measuring frame timings from multiple cameras simultaneously |
2023-09-28 17:35:09 |
| qpsolvers_benchmark |
1.1.0 |
Benchmark for quadratic programming solvers available in Python. |
2023-09-08 16:00:10 |
| google-benchmark |
1.8.3 |
A library to benchmark code snippets. |
2023-08-31 13:02:19 |
| stakk |
0.1.0 |
Stakk is designed to stack functions into a register, this registered stack is designed to be consumed by a stack of modular utilities. |
2023-08-15 21:22:50 |
| pytorch-benchmark |
0.3.6 |
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption in one go. |
2023-08-10 07:04:47 |
| scikit-datasets |
0.2.4 |
Scikit-learn-compatible datasets |
2023-08-08 14:02:18 |
| adbench |
0.1.11 |
Python package of ADBench |
2023-08-02 10:01:48 |