官方TensorFlow实现https://github.com/deepmind/sonnet/blob/v1/sonnet/examples/vqvae_example.ipynb。主要代码都写在一个notebook里。 官方实现的PyTorch复现https://github.com/MishaLaskin/vqvae。 苏剑林的TensorFlow实现。用的生成模型不是PixelCNN而是Transformer。https://github.com/bojone/vae/blob/master/vq_...
本文主要做的就是VQ-VAE模型的pytorch复现,其中介绍 VQ-VAE的主要结构,模型优化的损失函数,codebook离散化结构,以及pixelCNN的相关结构。末尾还会给出利用mini-imagenet数据复现实验的结果。 代码地址:https://github.com/ritheshkumar95/pytorch-vqvae VQ-VAE模型结构 class VectorQuantizedVAE(nn.Module): def __ini...
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch. utilstorchpytorchganperceptuallossvqvae UpdatedSep 4, 2024 Python Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering ...
classVectorQuantizer(nn.Module):"""Reference:[1] https://github.com/deepmind/sonnet/blob/v2/sonnet/src/nets/vqvae.py"""def__init__(self,num_embeddings:int,embedding_dim:int,beta:float=0.25):super(VectorQuantizer,self).__init__()self.K=num_embeddingsself.D=embedding_dimself.beta=betasel...
GDCenter/vq-vae-2-pytorchPublic forked fromrosinality/vq-vae-2-pytorch Notifications Fork0 Star0 Code Pull requests Actions Projects Security Insights Additional navigation options Files master checkpoint sample .gitignore LICENSE README.md dataset.py ...
Unofficial PyTorch implementation of the Vector-Quantized Variational AutoEncoder (VQ-VAE) architecture and its hierarchical variant (VQ-VAE-2) vq-vae vq-vae-2 vq-vae2 Updated Jul 31, 2022 Python Improve this page Add a description, image, and links to the vq-vae2 topic page so that...
This is an official Github repository for the PyTorch implementation of TimeVQVAE from our paper"Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023. TimeVQVAE is a robust time series generation model that utilizes vector quantization for data compression into the...
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937) - MishaLaskin/vqvae
# https://github.com/xunge/pytorch_lmdb_imagenet/blob/master/folder2lmdb.pyimport os import os.path as osp import pickleimport lmdb import six from PIL import Image from torch.utils.data import DataLoader, Datasetdef raw_reader(path): ...
Minimalist implementation of VQ-VAE in Pytorch. Contribute to nadavbh12/VQ-VAE development by creating an account on GitHub.