VAE extracted latent variables

NIAID Data Ecosystem2026-05-01 收录

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This dataset includes VAE-extracted latent variables from Zhang et al.

创建时间：

2024-01-22

VAE extracted latent variables

This dataset includes VAE-extracted latent variables from Zhang et al.

Zenodo2024-01-22 更新00

Tensorflow Speech recognition VAE latent variables

An attempt to distinguish 'known' from 'unknown' classes

kaggle2018-01-12 更新60

Convolutional VAE architecture for the IBL dataset using N latents.

Kernel size and stride size are defined as (x pixels, y pixels); padding size is defined as (left, right, top, bottom); output size is defined as (x pixels, y pixels, channels). Reparameterization det

NIAID Data Ecosystem40

VAE extracted latent variables

This dataset includes VAE-extracted latent variables from Zhang et al.

Zenodo2024-08-12 更新00

sana-vae-latents

SANA VAE Latents — DC-AE f32c32是一个预计算的VAE潜在表示数据集，专门设计用于训练NVLabs SANA模型。它包含约490万个动漫和插画图像的编码潜在表示，并排除了AI生成的艺术作品。数据以WebDataset格式存储，每个样本包括一个.npy文件（存储形状为[32, H/32, W/32]的fp16精度潜在向量）和一个.json文件（包含提示词、宽度、高度等元数

Hugging Face2026-06-20 更新00