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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adain-vc

An unofficial implementation of the paper "One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization".

adaspeech

AdaSpeech: Adaptive Text to Speech for Custom Voice

autovc

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

bvae-tts

Official implementation of BVAE-TTS

contrastive-predictive-coding

PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)

credits_public

Public version of Frums - Credits animation repository

crema-d

Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

dctts_original

disentangle-vae-for-vc

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

emotionvc

hifigan

An 16kHz implementation of HiFi-GAN for soft-vc.

iconflow

Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.

intro_dgm

An Introduction to Deep Generative Modeling: Examples

kss

mlp_preproc_dea

notebooks

Some notebooks for NLP

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-memory-utils

pytorch memory track code

recon_melspectrogram

refactoring-2nd-edition

마틴 파울러 님의 리팩토링을 읽고 정리한 레파지토리입니다.

searching_route

snuthesis

An UNOFFICIAL LaTeX thesis template for Seoul National University (SNU), Korea.

so-vits-svc

SoftVC VITS Singing Voice Conversion

speaker-independent-emotional-voice-conversion-based-on-conditional-vaw-gan-and-cwt

This is the implementation of our Interspeech 2020 paper "Converting anyone's emotion: towards speaker-independent emotional voice conversion".

stargan-voice-conversion-2

A Pytorch implementation of StarGAN-VC2

styleflow

StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

test_repository

transformer-evolution

Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.