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GitHub topics: vae-pytorch

Diwakar-346/doodleVAE

Yet another disentangled VAE ... but for quick drawing doodles

Language: Python - Size: 1.15 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

legalaspro/modern_ai_foundations

A collection of implementations exploring modern AI architectures and foundational models.

Language: Jupyter Notebook - Size: 40.4 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

moverseai/moai

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Language: Python - Size: 8.03 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 52 - Forks: 5

clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language: Python - Size: 42.5 MB - Last synced at: 25 days ago - Pushed at: 11 months ago - Stars: 1,914 - Forks: 174

DaoyuanLi2816/Molecule-Generator

Variational Autoencoder (VAE)-based molecular SMILES string generator

Language: Python - Size: 617 KB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 12 - Forks: 4

pabgarcialopez/CS-thesis

Learning timbre representations using AEs and VAEs for audio analysis and synthesis.

Language: Jupyter Notebook - Size: 61.6 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

shawn2030/StochasticVAE

Implementing a new kind of Variational AutoEncoder which works on Stochastic Neural Networks inspired from Neuroscience.

Language: Python - Size: 113 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

MAD-SG/generative-ai-start-to-surrender

Generative AI: From Start to Surrender – A Practical Guide to Mastering and Struggling with AI Models

Language: Jupyter Notebook - Size: 329 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

yassa9/doodleVAE

Yet another disentangled VAE ... but for quick drawing doodles

Language: Python - Size: 1.14 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ChunyuanLI/Optimus

Optimus: the first large-scale pre-trained VAE language model

Language: Python - Size: 1.06 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 385 - Forks: 39

hkproj/vae-from-scratch-notes

Notes about the video on the Variational Autoencoder

Size: 1000 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 1

SaadaouiAlaeddine/ecommerce-cloud-platform

A Repo for a Smart AI-based Order Management Platform Prototype

Language: Python - Size: 93.8 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

prathamp25/Latent-space-exploration-in-VAE

A Variational Autoencoder (VAE) using PyTorch and trains it on the Fashion MNIST dataset.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Koldim2001/Generator_VAE

Вариационный автоэнкодер для генерации цифр и предметов одежды

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

RGenDiff/open-litevae

Implementation of LiteVAE

Language: Python - Size: 113 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

SnowYJ/T5VQVAE

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders

Language: Python - Size: 4.12 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

kezouke/VAExperiment

Simple VAE implementation exploring KL divergence and Wasserstein metric in the loss function

Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Amber-Abuah/LSTM-VAE-Procedural-Animation-Generation

3D procedural animation generation using a LSTM-VAE.

Language: Python - Size: 24.4 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

filipposchiazza/VAE4Mask

Torch implemantation of a Convolutional Variational Autoencoder for the generation of citology binary masks

Language: Jupyter Notebook - Size: 206 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ThatAquarel/quake_matrix

Team Quake Matrix NASA Space Apps 2024 Submission - Variational Autoencoders for Data Augmentation in Lunar Seismic Frequency Domain Analysis Using Convolutional Neural Networks

Language: Python - Size: 2.71 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

zainnabtarrek/vae-dcgan-image-generation_pytorch

This repository provides a comprehensive exploration of generative models and serves as a foundation for future advancements .

Language: Jupyter Notebook - Size: 4.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

CharlesDc9/Denoising_EMNIST Fork of matthieudelsart/denoising_emnist

X-HEC Group project on Auto-encoders, Variational Auto-encoders and GANs on a corrupted version of the EMNIST dataset

Language: Jupyter Notebook - Size: 205 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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~

Language: Python - Size: 525 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 3

AnnettaQi/Images-generation-using-GAN-and-VAE

Generate handwritten digits images using generative adversarial network

Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

112jshjsh/BasicDL-VAEGAN

2023-2 딥러닝기초 개인프로젝트 GAN/VAE

Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

drishtiramesh/Image-Compression-and-Regeneration-Using-Variational-Autoencoders

Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 14 days ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

GraceSevillano/Advanced-Image-Analysis-Assignments

Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.

Language: Jupyter Notebook - Size: 158 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

shreyansh26/Sentence-VAE

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

Language: Python - Size: 35 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

lukez42/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

Language: MATLAB - Size: 75.8 MB - Last synced at: about 9 hours ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

sathya-ml/multimodal-vrnn-vae

A PyTorch implementation of multimodal VRNN and VAE.

Language: Python - Size: 26.4 KB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

deepmancer/diffusion-gan-vae-pytorch

A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

mariamagro/Exploring_Variational_Autoencoders_Gaussian_Mixture_Models

This project investigates Variational Autoencoders (VAEs) for generating synthetic data from a 3D Gaussian Mixture Model (GMM). It covers data synthesis, VAE architecture with dense layers, and model evaluation, including clustering and T-SNE visualization to assess the VAE's performance and latent space representation.

Language: Jupyter Notebook - Size: 4.5 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AleFalla/Properties-to-molecules-Inverse-Mapping

Mapping properties to molecules in QM7-X

Language: Jupyter Notebook - Size: 96.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 1

xinli2008/VAE_from_scratch

Pytorch版本实现的VAE和公式推导

Language: Python - Size: 1.54 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

BinaryChrisEntropy/MNIST

Language: Jupyter Notebook - Size: 387 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Resh-97/MixSeq-Connecting-Macroscopic-Time-Series-Forecasting-with-Microscopic-Time-Series-Data

Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.

Language: Jupyter Notebook - Size: 93.8 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

notjedi/tuxkart-ai

[WIP] RL agent for the SuperTuxKart game.

Language: Python - Size: 82.7 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 5 - Forks: 0

insdout/GMVAE-pytorch

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Language: Python - Size: 5.27 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 0

KJLdefeated/NYCU_DLP_2024

2024 NYCU Deep Learning

Language: Jupyter Notebook - Size: 69.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

MatheusBecali/Sinewave-VAE-Example

Este projeto implementa e treina uma Variational Autoencoder (VAE) usando dados de onda senoidal gerados artificialmente. O objetivo é avaliar a capacidade do VAE de reconstruir os dados de entrada e visualizar a diferença entre os dados originais e reconstruídos.

Language: Jupyter Notebook - Size: 132 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

filipeas/ssl-experiments

SSL (self supervised learning) experiments for machine learning topics course

Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

med-sci/teachmecadd

Classical cheminformatics and deep generative models

Language: Jupyter Notebook - Size: 65.5 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

YonDraco/learn-deep-learning

Learn Deep Learing from Pluralsight + Coursera + ProtonX + Kaggle

Language: Jupyter Notebook - Size: 70.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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"

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 185 - Forks: 28

florian6973/comp_stats

Computational Statistics Project (MVA)

Language: Python - Size: 994 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

luciananobrega/miniprojects-deep-learning

Some mini-projects using well known datasets to practice important deep learning concepts.

Language: Python - Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

FabioD-Junior/GenerativeAI

This repository contains notebooks with academic projects to practice and explore image creation using AI, where the use of VAE (Variational Autoencoders) and GANs (Generative Adversarial Networks) was explored to generate human faces based on a dataset with examples.

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

trinity652/VAE-Face-generator

A sample face generation project to enhance my understanding of VAEs

Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Jovana-Gentic/VAE_celeba

Simple VAE implementation in tensorflow, jax and pytorch where both the encoder and decoder model use gaussian distributions.

Language: Jupyter Notebook - Size: 4.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Shiva18A/Variational-Autoencoder-Family

PyTorch implementation of various Variational Autoencoder models

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

ema-marconato/reasoning-shortcuts

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

Language: Python - Size: 27.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 2

FibonacciDude/vae

Variational Autoencoders. This implements and pokes the original VAE in < 100 lines.

Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

JensRahnfeld/Deep-Feature-Consistent-VAE 📦

Pytorch Implementation of Hou, Shen, Sun, Qiu, "Deep Feature Consistent Variational Autoencoder", 2016

Language: Python - Size: 2.61 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3

soolinglim/solve

Code for paper: P.J. Bentley, S.L. Lim, A. Gaier and L. Tran. (2022). Evolving Through the Looking Glass - Learning Improved Search Spaces with Variational Autoencoders, PPSN XVII, pp. 371–384.

Language: Python - Size: 47.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

soolinglim/coil

Code for paper: P.J. Bentley, S.L. Lim, A. Gaier and L. Tran. (2022). COIL: Constrained Optimization in Learned Latent Space. Learning Representations for Valid Solutions. ACM Genetic and Evolutionary Computation Conference (GECCO'22) Companion, ACM, pp. 1870–1877.

Language: Python - Size: 3.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

iremcetin/Attention_generation

Generating attention maps from resnet50 and densenet using ACDC and EMIDEC dataset

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dangpnh2/plsv_vae

Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

broadinstitute/celligner2

A new version of the celligner package using VAEs. Inspired from the Theis lab's scArches.

Language: Jupyter Notebook - Size: 251 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

SnowYJ/sem_syn_separation

Graph-induced Syntactic-Semantic Spaces in Transformer-based VAE

Language: Python - Size: 3.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yakhyo/pytorch-tutorials

🤖 | Learning PyTorch through official examples

Language: Jupyter Notebook - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 5

felixkoerber/Multimodal-Integration-ABIDE

Code for Bachelor Thesis "Unveiling Hidden Features: Multimodal Integration Using Cross-Modal Variational Autoencoders for the Identification of Stratification in ABIDE"

Language: Jupyter Notebook - Size: 97.7 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alexandrusocolov/LIME-for-medical-imaging

Modifying LIME for interpreting a deep neural network for diagnosing 14 conditions on chest X-Rays

Language: Jupyter Notebook - Size: 7 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

moshesipper/vae-torch-celeba

A Variational Autoencoder in PyTorch for the CelebA Dataset

Language: Python - Size: 28.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mr-ravin/variational-autoencoders-vae-pytorch 📦

Pytorch implementation of Variational Auto-encoders with CNN; VAE with CNN

Language: Jupyter Notebook - Size: 28.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vratnasw/neural_reacting_systems

deep learning model for interacting systems

Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

screddy1313/VAE

Implementation of Variational Auto Encoder (VAE) in pytorch using MNIST data

Language: Jupyter Notebook - Size: 895 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

Sheev13/vae

PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images

Language: Jupyter Notebook - Size: 791 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

saravanabalagi/vae_visualization

A small, light and fast reactive web-based app to quickly visualize and analyze VAE embeddings.

Language: Svelte - Size: 3.02 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

WindowsKonon1337/VAE-Face-Generator

Simple VAE face generator

Language: Jupyter Notebook - Size: 282 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Golaugh/MSTCN-VAE

Language: Python - Size: 175 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vidit1999/pytorch-autoencoder

Autoencoders in PyTorch

Language: Jupyter Notebook - Size: 9.71 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

raulorteg/SmileCVAE

Implementation of CVAE. Trained CVAE on faces from UTKFace Dataset to produce synthetic faces with a given degree of happiness/smileyness.

Language: Python - Size: 114 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

eleGAN23/QVAE

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

Language: Python - Size: 1.29 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 4

aju22/VQ-GANs

This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

adrianjav/impartial-vaes

Code to reproduce the results of the ICML 2022 paper "Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization."

Language: Python - Size: 81.1 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

gonzrubio/ML_Papers

A collection of research paper implementations in PyTorch

Language: Python - Size: 762 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

Victarry/Image-Generation-models

Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.

Language: Python - Size: 2.45 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 5

AmanPriyanshu/SynthesizeDaten

A repository for generating synthetic data (images) using various DL/ML models.

Language: Python - Size: 15.8 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

michaelklachko/generative-models

Pytorch implementation of popular generative models

Language: Python - Size: 118 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

munhouiani/GEE

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 11

is0383kk/Dirichlet-VAE

Dirichlet-Variational Auto-Encoder by PyTorch

Language: Jupyter Notebook - Size: 642 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 3

Shahdsaf/Semi-Supervised-World-Models

A new version of world models using Echo-state networks and random weight-fixed CNNs

Language: Python - Size: 5.84 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

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.

Language: Jupyter Notebook - Size: 149 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Hojjat-Mokhtarabadi/Latent-variable-and-Generative-models

A collection of different latent variable and generative models

Language: Python - Size: 39.1 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

sedaoturak/vae_cahn-hilliard

Generative model variational autoencoder (VAE) implementation for the predictions of phase separation in binary alloys

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ManuOtel/A3C-Mobile-Robot

Research Project in A3C reinforcement learning algorithm used for path finding mobile robots

Language: Python - Size: 678 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

HelloWorldLTY/CVQVAE

Codes for paper: CVQVAE: A REPRESENTATION LEARNING METHOD FOR MULTI-OMICS SINGLE CELL DATA INTEGRATION

Language: Python - Size: 20.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

giakou4/autoencoders

Autoencoders in PyTorch

Language: Python - Size: 4.33 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ioangatop/srVAE

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Language: Python - Size: 1.81 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 64 - Forks: 11

msalhab96/Variational-Autoencoder

A pytorch implementation of Variational Autoencoder (VAE) and Conditional Variational Autoencoder (CVAE) on the MNIST dataset

Language: Python - Size: 49.8 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

VigneshS10/SIHeDA-Net Fork of spider-tronix/SIHeDA-Net

📜 [MIDL 2022] "Sensor to Image Heterogeneous Domain Adaptation Network", Ishikaa Lunawat, Vignesh S, S P Sharan

Language: Jupyter Notebook - Size: 155 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MaddipatlaVigneshSrinivas/Variational-Autoencoder

This repository contains code for VAE and CVAE using residual and inverse residual blocks

Language: Jupyter Notebook - Size: 225 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 2

mgp123/variational-autoencoder

A simple variational autoencoder

Language: Python - Size: 47.5 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

umustdye/MNIST-VAE

Variational Autoencoder using the MNIST dataset. Also included, is an ANN and CNN for MNIST as well. Coded in Python, uses PyTorch

Language: Python - Size: 803 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

kiwi0fruit/jats-semi-supervised-pytorch Fork of wohlert/semi-supervised-pytorch

Applying VAE and DGM families to JATS personality survey database in PyTorch

Language: Python - Size: 25.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

wiktorlazarski/edge-aware-face-autoencoder

👨‍🎨 Edge-aware Face Autoencoder.

Language: Jupyter Notebook - Size: 93.1 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

Dev93junho/Test-DallE-with-Flask

Flask image generation service using DALL-e

Language: Python - Size: 5.57 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

saashd/controlVAE

ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis

Language: Jupyter Notebook - Size: 205 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

lorenzomancini1/DeepLearning_Unipd

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ivantipow/Autoencoders

Implementation of different autoencoders and their practical application

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vae-pytorch 109 vae 49 pytorch 44 variational-autoencoder 30 deep-learning 23 vae-implementation 14 autoencoder 13 mnist 11 generative-model 11 pytorch-implementation 7 machine-learning 7 gan-pytorch 6 image-generation 5 neural-network 5 computer-vision 5 cnn 5 gan 5 generative-ai 5 nn 4 diffusion-models 4 cvae 4 vae-gan 4 reinforcement-learning 4 python 4 pytorch-lightning 4 rnn 3 latent-space 3 vae-cnn 3 face 3 disentangled-representations 3 cifar-10 3 python3 3 image 3 language-model 3 celeba-dataset 3 celeba 3 lstm 3 gans 3 convolutional-neural-networks 3 generative-adversarial-network 3 hydra 3 conditional-generation 2 image-compression 2 generative-models 2 ml 2 dcgan 2 ai 2 autoencoders 2 jupyter-notebook 2 variational-autoencoders 2 gmm 2 pytorch-vae 2 mnist-generation 2 gaussian-mixture-models 2 deep-neural-networks 2 neural-networks 2 dcgan-pytorch 2 ppo 2 cnn-pytorch 2 beta-vae 2 vq-vae 2 doodle 2 ddpm 2 reproducible-research 2 reproducibility 2 unsupervised-learning 2 chemistry 2 latent-variable-models 2 constrained-optimization 2 evolving-latent-variables 2 style-transfer 2 machine-learning-algorithms 2 quickdr 2 quickdraw-dataset 2 lstm-pytorch 1 fast-neural-style 1 pixelcnn 1 vaes 1 quaternions 1 pytorch-tutorial 1 gnn-model 1 infogan 1 segmentation 1 research-paper-implementation 1 object-detection 1 image-to-image-translation 1 image-recognition 1 graph-convolutional-networks 1 generative-networks 1 generative-adversarial-networks 1 tabular-data 1 wasserstein-distance 1 multitask-learning 1 omics 1 rna-seq 1 graph 1 adversarial-networks 1 interacting-particle-system 1 particle-physics 1 torchvision 1