PyTorch implementations of Generative Adversarial Networks.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Mixture density network implemented in PyTorch.

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

MinImagen: A minimal implementation of the Imagen text-to-image model

Fast PyTorch based DSP for audio and 1D signals

VAE with cross utterance conditions

A collection of languages stemmers and stopwords for Lunr Javascript library

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

Implement the paper "Self-Attention with Relative Position Representations"

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Chinese text normalization for speech processing

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

🙈🙉🙊 本项目包括：1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易，右上角助力一波！干就对了，奥利给 ！🚀🚀

A Python wrapper for the high-quality vocoder "World"

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

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.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

ncnn is a high-performance neural network inference framework optimized for the mobile platform

BLISlab: A Sandbox for Optimizing GEMM

LAMB Optimizer for Large Batch Training (TensorFlow version)

Deep learning for Text to Speech