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cvae

Conditional variational autoencoder implementation in Torch

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cyclegan-1

Tensorflow implementation of CycleGAN

cyclegan-music-style-transfer

Symbolic Music Genre Transfer with CycleGAN

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deep_voice_2

deep voice 2 for text to speech(https://arxiv.org/pdf/1705.08947.pdf)

deepvoice3

Tensorflow Implementation of Deep Voice 3

dicletdemo

diffae

Official implementation of Diffusion Autoencoders

diffsinger

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

diffsound

The source code of our paper "Diffsound: discrete diffusion model for text-to-sound generation"

diffusion

Denoising Diffusion Probabilistic Models

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

diffusion_vae

diffusionvae

diffvar

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

disentanglement-beta-factorvae

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

disentangling_by_factorising

PyTorch Implementation of Disentangling by Factorising, Variational Auto Encoders

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

dl-for-emo-tts

:computer: :robot: A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech :speaker:

emotions-recognition-from-audio-signal

Emotions recognition from audio signal using OpenSmile, PCA and set of classifiers from Scikit-learn library

espnet

End-to-End Speech Processing Toolkit

extended_vqvae