114 Open source projects that are alternatives of or similar to Voice Conversion

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

EfficientMORL (ICML'21)

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

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Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

No description or website provided.

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

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VPoser: Variational Human Pose Prior

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Minimalist implementation of VQ-VAE in Pytorch

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Replicating "Understanding disentangling in β-VAE"

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Optimus: the first large-scale pre-trained VAE language model

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PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

A Collection of Variational Autoencoders (VAE) in PyTorch.

Blend beats using machine learning to create music in a fun new way.

Variational Auto-Encoders in a Sequential Setting.

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Tensorflow implementation of conditional variational auto-encoder for MNIST

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Deep Learning sample programs using PyTorch in C++

Machine learning, in numpy

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Comparison of Generative Models in Tensorflow

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

A Tensorfflow implementation of Attend, Infer, Repeat

Variational Autoencoder trained by Feature Perceputal Loss

Protein function prediction using a variational autoencoder

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Paper collection of Neural Text Generation

(beta-)VAE Tensorflow

Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.