vae-implementation 开源项目推荐（70 个）

AntixK /PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

clementchadebec /benchmark_VAE

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

is0383kk /Pytorch_VAE-GMM

Implementation of mutual learning model between VAE and GMM.

meiyulee /continuous_Bernoulli

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

is0383kk /Dirichlet-VAE

Dirichlet-Variational Auto-Encoder by PyTorch

insdout /GMVAE-pytorch

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

RGenDiff /open-litevae

Implementation of LiteVAE

julian-carpenter /beta-TCVAE

Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).

vsimkus /pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.

danielsobrado /Machine-Learning-Visualized

Learn Machine learning by doing exercises and intuitive animations

is0383kk /SymbolEmergence-VAE-GMM

Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model (Inter-GMM-VAE)~VAEを活用した実画像からの記号創発~

HariKrishnan06082k /Robot-Learning-for-Planning-and-Control

Topics include function approximation, learning dynamics, using learned dynamics in control and planning, handling uncertainty in learned models, learning from demonstration, and model-based and model-free reinforcement learning.

keya-desai /Natural-Language-Processing

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

xinli2008 /VAE_from_scratch

Pytorch版本实现的VAE和公式推导

ioangatop /DeepGenerativeModels

Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.

fishelegs /ComfyUI-H3VAE-PyOpt

Optimized PyTorch/Triton MiniMax H3 video VAE for ComfyUI, with reproducible benchmarks and optional mixed INT8 acceleration—no TensorRT engine required.

shreyansh26 /Sentence-VAE

A re-implementation of the Sentence VAE paper, Generating Sentences from a Continuous Space

Baukebrenninkmeijer /Variational-Autoencoder-Pytorch

Implementation of the variational autoencoder with PyTorch and Fastai

jainraj /Advanced-Deep-Representation-Learning-IISc

该项目在 GitHub 上没有填写描述

ayseirmak /Chatter-Detection

Utilized a VAE (Variational Autoencoder) and CGAN (Conditional Generative Adversarial Network) models to generate synthetic chatter signals, addressing the challenge of imbalanced data in turning operations. Compared othe performance of synthetic chatter signals.