Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
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Updated
Mar 13, 2024 - Python
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
Open source reference implementation of ITU-T P.1204.3
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
INRS Audiovisual Quality Dataset. This Dataset is created using Multimedia Quality Testbed listed on this GitHub page as well. This data is further used in Multimedia Regression Models that can also be found on this GitHub repository.
A toolkit to calculate speech audio quality. Not affiliated with the original authors
Python library for managing MOS running orders, developed by BBC News Labs
A software for simulating the radio frequency spectrum transmitting voice to base stations.
Python library for calculating the mean opinion score and 95% confidence interval of the standard deviation of text-to-speech ratings according to Ribeiro et al. (2011).
This is a repository for project from olympiada-predprof. Simple android app for online controle greenhouse.
Command-line interface (CLI) and Python library to evaluate text-to-speech (TTS) mean opinion score (MOS) studies done on Amazon Mechanical Turk (MTurk). The calculation of the confidence intervals is done in the same manner as described in (Ribeiro et al., 2011).
Мониторинг тендеров/закупок на ресурсах https://zakupki.gov.ru, https://zakupki.mos.ru
This is the final case at the pre-professional Olympiad
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