variational-autoencoder 开源项目推荐（1,201 个）

hwalsuklee /tensorflow-generative-model-collections

TensorFlow中的生成模型集合

clementchadebec /benchmark_VAE

在Pytorch中统一变分自动编码器（VAE）实现（NeurIPS 2022）

krasserm /bayesian-machine-learning

关于机器学习的Bayesian方法的笔记本

GMvandeVen /continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

scverse /scvi-tools

单细胞和空间组学数据的深度概率分析

jmtomczak /intro_dgm

"Deep Generative Modeling": Introductory Examples

altosaar /variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

RubensZimbres /Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

wubinzzu /NeuRec

Next RecSys Library

VincentStimper /normalizing-flows

PyTorch implementation of normalizing flow models

EdoardoBotta /RQ-VAE-Recommender

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

matthewvowels1 /Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

YannDubs /disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

EndlessSora /focal-frequency-loss

[ICCV 2021]图像重建与合成中的焦频损耗

timbmg /VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

lin-shuyu /VAE-LSTM-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

dawenl /vae_cf

Variational autoencoders for collaborative filtering

hwalsuklee /tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

navneet-nmk /pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

EleutherAI /DALLE-mtf

Open-AI's DALL-E for large scale training in mesh-tensorflow.