FAST-RIR VS CTGAN

Compare FAST-RIR vs CTGAN and see what are their differences.

FAST-RIR

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment. (by anton-jeran)
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FAST-RIR CTGAN
1 2
137 1,136
- 3.7%
5.0 7.9
6 months ago 7 days ago
Python Python
GNU Affero General Public License v3.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FAST-RIR

Posts with mentions or reviews of FAST-RIR. We have used some of these posts to build our list of alternatives and similar projects.

CTGAN

Posts with mentions or reviews of CTGAN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FAST-RIR and CTGAN you can also consider the following projects:

DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

SDV - Synthetic data generation for tabular data

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

Copulas - A library to model multivariate data using copulas.

SDGym - Benchmarking synthetic data generation methods.

Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.

pyroomacoustics - Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.