CTGAN VS FAST-RIR

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

CTGAN

Conditional GAN for generating synthetic tabular data. (by sdv-dev)
synthetic-data generative-adversarial-network tabular-data data-generation synthetic-data-generation
Source Code
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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)
room-impulse-response automatic-speech-recognition acoustics conditional-generation generative-adversarial-network Speech Augmentation synthetic-data rir neural-network diffuse-scattering Deep Learning impulse-response implicit-neural-representation
Source Code
anton-jeran.github.io
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CTGAN FAST-RIR
2 1
1,288 155
1.5% -
8.4 5.0
13 days ago 5 months ago
Python Python
GNU General Public License v3.0 or later GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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CTGAN

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

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.

What are some alternatives?

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

SDV - Synthetic data generation for tabular data

SDGym - Benchmarking synthetic data generation methods.

Copulas - A library to model multivariate data using copulas.

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.

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

Mimesis - Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.

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

DeepEcho - Synthetic Data Generation for mixed-type, multivariate time series.

room-impulse-responses - A list of publicly available room impulse response datasets and scripts to download them.

CTGAN vs SDV FAST-RIR vs SDGym CTGAN vs Copulas FAST-RIR vs pyroomacoustics CTGAN vs gretel-synthetics FAST-RIR vs DoppelGANger CTGAN vs Mimesis FAST-RIR vs caer CTGAN vs DeepEcho FAST-RIR vs room-impulse-responses
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