hifigan-denoiser VS joliGEN

Compare hifigan-denoiser vs joliGEN and see what are their differences.

hifigan-denoiser

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks (by rishikksh20)
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hifigan-denoiser joliGEN
1 4
188 196
- 5.1%
0.0 9.5
about 3 years ago 10 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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hifigan-denoiser

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

joliGEN

Posts with mentions or reviews of joliGEN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-16.

What are some alternatives?

When comparing hifigan-denoiser and joliGEN you can also consider the following projects:

HyperGAN - Composable GAN framework with api and user interface

PassGAN - A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper

cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.

TTS - πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

UniSpeech - UniSpeech - Large Scale Self-Supervised Learning for Speech

deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

style-aware-discriminator - CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

ALAE - [CVPR2020] Adversarial Latent Autoencoders