Giter VIP home page Giter VIP logo

chcbin's Projects

sentencepiece icon sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

sonnet icon sonnet

TensorFlow-based neural network library

stargan-v2 icon stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

stargan-voice-conversion icon stargan-voice-conversion

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

stav icon stav

Statistical voice conversion written in Go for signal processing backend, Python for model training and parameter conversions

tacotron icon tacotron

A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

tacotron-1 icon tacotron-1

A PyTorch implementation of Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis

tacotron-2 icon tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

tacotron2 icon tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

tensorflow-vae-gan-draw icon tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tf-adaptive-softmax-lstm-lm icon tf-adaptive-softmax-lstm-lm

The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.

transformer icon transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

tts icon tts

Deep learning for Text to Speech

vae-gumbel-softmax icon vae-gumbel-softmax

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

vae-npvc icon vae-npvc

Re-implementation the code used in Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

vae_tutorial icon vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

waveglow icon waveglow

A Flow-based Generative Network for Speech Synthesis

world icon world

A high-quality speech analysis, manipulation and synthesis system

world-1 icon world-1

A modified version of WORLD (original: http://ml.cs.yamanashi.ac.jp/world/english/index.html)

world-class icon world-class

A C++ library of "World" - A high-quality speech analysis, manipulation and synthesis system -

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.