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shaun's Projects

pytorch-nlp icon pytorch-nlp

Basic Utilities for PyTorch Natural Language Processing (NLP)

pytorch-stargan-vc icon pytorch-stargan-vc

Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pytorch2onnx icon pytorch2onnx

Solve the issues of InstanceNorm, AdaptiveAvgPooling2d and BatchNorm1d.

pytorch_adain icon pytorch_adain

Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]

pytorch_wavelets icon pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

pytorchwavelets icon pytorchwavelets

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

radtts icon radtts

Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modelling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.

rave icon rave

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

resemblyzer icon resemblyzer

A python package to analyze and compare voices with deep learning

resunet icon resunet

Pytorch implementation of ResUnet and ResUnet ++

rnnoise icon rnnoise

Recurrent neural network for audio noise reduction

rubberband icon rubberband

Official mirror of Rubber Band Library, an audio time-stretching and pitch-shifting library.

rwkv-lm icon rwkv-lm

RWKV is a RNN with transformer-level performance. It can be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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