vae-pytorch
There are 100 repositories under vae-pytorch topic.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
ChunyuanLI/Optimus
Optimus: the first large-scale pre-trained VAE language model
taldatech/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
ioangatop/srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Victarry/Image-Generation-models
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
moverseai/moai
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
eleGAN23/QVAE
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
munhouiani/GEE
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
yakhyo/pytorch-tutorials
🤖 | Learning PyTorch through official examples
is0383kk/Dirichlet-VAE
Dirichlet-Variational Auto-Encoder by PyTorch
ema-marconato/reasoning-shortcuts
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
insdout/GMVAE-pytorch
Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE
moshesipper/vae-torch-celeba
A Variational Autoencoder in PyTorch for the CelebA Dataset.
leonardopicchiami/molecular_synthesis_and_reconstruction
Deep Learning And Applied Artificial Intelligence Project 2019/2020 - Molecular Synthesis & Reconstruction
williamcfrancis/Variational-Autoencoder-for-MNIST
Pytorch implementation of a Variational Autoencoder (VAE) that learns from the MNIST dataset and generates images of altered handwritten digits.
DaoyuanLi2816/Molecule-Generator
Variational Autoencoder (VAE)-based molecular SMILES string generator
hkproj/vae-from-scratch-notes
Notes about the video on the Variational Autoencoder
AleFalla/Properties-to-molecules-Inverse-Mapping
Mapping properties to molecules in QM7-X
HelloWorldLTY/CVQVAE
Codes for paper: CVQVAE: A REPRESENTATION LEARNING METHOD FOR MULTI-OMICS SINGLE CELL DATA INTEGRATION
vignesh-creator/Variational-Autoencoder
This repository contains code for VAE and CVAE using residual and inverse residual blocks
gonzrubio/ML_Papers
A collection of research paper implementations in PyTorch
notjedi/tuxkart-ai
[WIP] RL agent for the SuperTuxKart game.
Shahdsaf/Semi-Supervised-World-Models
A new version of world models using Echo-state networks and random weight-fixed CNNs
deepmancer/diffusion-gan-vae-pytorch
A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.
JensRahnfeld/Deep-Feature-Consistent-VAE
Pytorch Implementation of Hou, Shen, Sun, Qiu, "Deep Feature Consistent Variational Autoencoder", 2016
Koldim2001/Generator_VAE
Вариационный автоэнкодер для генерации цифр и предметов одежды
broadinstitute/celligner2
A new version of the celligner package using VAEs. Inspired from the Theis lab's scArches.
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~
ivantipow/Autoencoders
Implementation of different autoencoders and their practical application
luke-who/Digital-Twin-VAE
This project explored the use of a 2-stage Neural Network for RSRP prediction to improve Quality of Service for the existing mobile networks
raulorteg/SmileCVAE
Implementation of CVAE. Trained CVAE on faces from UTKFace Dataset to produce synthetic faces with a given degree of happiness/smileyness.
sedaoturak/vae_cahn-hilliard
Generative model variational autoencoder (VAE) implementation for the predictions of phase separation in binary alloys
Sheev13/vae
PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images
adrianjav/impartial-vaes
Code to reproduce the results of the ICML 2022 paper "Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization."
ManuOtel/A3C-Mobile-Robot
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
Shiva18A/Variational-Autoencoder-Family
PyTorch implementation of various Variational Autoencoder models