FAST-RIR
SDGym
| FAST-RIR | SDGym | |
|---|---|---|
| 1 | 1 | |
| 151 | 254 | |
| - | 1.2% | |
| 5.0 | 8.7 | |
| 2 months ago | 7 days ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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FAST-RIR
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[ICASSP 2022] FAST-RIR: FAST NEURAL DIFFUSE ROOM IMPULSE RESPONSE GENERATOR
Code: https://github.com/anton-jeran/FAST-RIR
SDGym
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[D] Synthetic data generation techniques for data privacy
I would suggest starting with "differentially private synthetic data generation". These methods utilize differential privacy and mostly protect against membership inference attacks, are very popular in the ML/DL community. I would also suggest reading up on privacy preserving ML methods in general and adversarial attacks against them (membership inference, inversion, reconstruction, property inference), but if you're keen on reading some code, check out sd-gym: https://github.com/sdv-dev/SDGym. The authors have collected implementations for a lot of PPSDG methods. Also I strongly suggest reading McMahan's 2016 paper: https://arxiv.org/abs/1607.00133.
What are some alternatives?
CTGAN - Conditional GAN for generating synthetic tabular data.
Mimesis - Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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.
DPL - [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
SDV - Synthetic data generation for tabular data
room-impulse-responses - A list of publicly available room impulse response datasets and scripts to download them.
DeepEcho - Synthetic Data Generation for mixed-type, multivariate time series.
MESH2IR - This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh.