This release focuses on reducing the noise from the system (#143, #144). For this purpose, it introduces the rebench-denoise tool, which will adapt system parameters to: change CPU governor to the performance setting disables turbo boost reduces the sampling frequency allowed by the kernel execute benchmarks with CPU shielding and nice -n-20 rebench-denoise can also be used as stand-alone tool, is documented here: https://rebench.readthedocs.io/en/latest/denoise/ The use of rebench-denoise will require root rights. Other new features include: add support for configuring environment variables (#174) add support for recording profiling information (#190) add support for printing the execution plan without running it (#171) add marker in c...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
Includes a PyTorch-based implementation of Spectral Gating, an algorithm for denoising audio signals...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
This is the first official release of ReBench as a "feature-complete" product. Feature-complete here...
made user interface more consistent and concise (#83, #85, #92, #101, #102) added concept of iterati...
ReBench is a tool to run and document benchmark experiments. Currently, it is mostly used for benchm...
added --setup-only option, to run one benchmark for each setup (#110, #115) added ignore_timeout set...
Restructure command-line options in help, and use argparse (#73) Add support for Python 3 and PyPy ...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
What's Changed Added DeepDenoiser (#59), a deep learning model for denoising waveforms published by...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
What's changed UrbanDenoiser (https://doi.org/10.1126/sciadv.abl3564) is now available in SeisBench...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
All inputs required to build the figures and statistics in the jupyter book. Untar the file and put ...
This demo code allows to reproduce audio declipping and audio denoising experiments from the followi...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
Includes a PyTorch-based implementation of Spectral Gating, an algorithm for denoising audio signals...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
This is the first official release of ReBench as a "feature-complete" product. Feature-complete here...
made user interface more consistent and concise (#83, #85, #92, #101, #102) added concept of iterati...
ReBench is a tool to run and document benchmark experiments. Currently, it is mostly used for benchm...
added --setup-only option, to run one benchmark for each setup (#110, #115) added ignore_timeout set...
Restructure command-line options in help, and use argparse (#73) Add support for Python 3 and PyPy ...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
What's Changed Added DeepDenoiser (#59), a deep learning model for denoising waveforms published by...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
What's changed UrbanDenoiser (https://doi.org/10.1126/sciadv.abl3564) is now available in SeisBench...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
All inputs required to build the figures and statistics in the jupyter book. Untar the file and put ...
This demo code allows to reproduce audio declipping and audio denoising experiments from the followi...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...
Includes a PyTorch-based implementation of Spectral Gating, an algorithm for denoising audio signals...
Tool for automatic denoising, denoising strategies comparisons, and functional connectivity data qua...