vae-implementation | Topic | Ecosyste.ms: Repos

Topic: "vae-implementation"

AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language: Python - Size: 45.4 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 7,151 - Forks: 1,130

clementchadebec/benchmark_VAE

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

Language: Python - Size: 42.5 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1,952 - Forks: 177

is0383kk/Dirichlet-VAE

Dirichlet-Variational Auto-Encoder by PyTorch

Language: Jupyter Notebook - Size: 652 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 23 - Forks: 5

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.

Language: C++ - Size: 47.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 3

lovelyscientist/rna-seq-vae

Synthetic gene expression data generation using Variational Auto-Encoder

Language: Python - Size: 9.16 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

julian-carpenter/beta-TCVAE

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

Language: Python - Size: 22.5 KB - Last synced at: almost 3 years ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 0

vsimkus/pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 4

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: 537 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 4

insdout/GMVAE-pytorch

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Language: Python - Size: 5.27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - 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: over 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

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.

Language: Python - Size: 100 MB - Last synced at: almost 3 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2

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: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

ayulockin/deepgenerativemodeling

Towards Generative Modeling from (variational) Autoencoder to DCGAN

Language: Jupyter Notebook - Size: 897 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 3 - 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

unkosan/RaptGen-UI

The GUI for RaptGen developed with React and FastAPI

Language: TypeScript - Size: 39.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

RGenDiff/open-litevae

Implementation of LiteVAE

Language: Python - Size: 113 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

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

Language: Python - Size: 15 MB - Last synced at: almost 3 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

Baukebrenninkmeijer/Variational-Autoencoder-Pytorch

Implementation of the variational autoencoder with PyTorch and Fastai

Language: Jupyter Notebook - Size: 140 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

TimoFlesch/Autoencoders

Autoencoders (Standard, Convolutional, Variational), implemented in tensorflow

Language: Python - Size: 24.4 MB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

danielsobrado/ml-animations

Learn Machine learning by doing exercises and intuitive animations

Language: JavaScript - Size: 23.8 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

lars-chen/3D-VAE

Implementation of 3D convolutional conditional variational autoencoder.

Language: Jupyter Notebook - Size: 4.18 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Shreshth-112/Video-summarization-using-keyframe-extraction

Built a model to create highlights/summary of given video. The results of this study shows that, with a remarkable similarity index(SSIM) of 98%, the recommended technique is quite successful in choosing keyframes that are both educational and distinctive from the original movie

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 1 - 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: 9 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

kleinzcy/Variational-AutoEncoder

VAE and CVAE pytorch implement based on MNIST

Language: Jupyter Notebook - Size: 953 KB - Last synced at: almost 3 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

DelTA-Lab-IITK/PDUN

Probabilistic framework for solving Visual Dialog

Size: 21 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

Manos2605/CVAE

Ce projet utilise un modèle d'Intelligence Artificielle basé sur un Auto-Encodeur Variationnel Conditionnel (CVAE) pour générer des images d'art abstrait en fonction d'ambiances colorées. Le modèle apprend à créer de nouvelles œuvres artistiques en analysant un dataset d'art abstrait et en classifiant les images par catégories d'ambiance (Chaud, Fr

Language: Jupyter Notebook - Size: 101 MB - Last synced at: 2 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

mh-mubashir/vae_search

Comprehensive research project comparing VAE, BetaVAE, VAEGAN, and VQVAE architectures on CelebA. Features GPU training, wandb tracking, Hugging Face integration, and rigorous evaluation with perceptual metrics.

Language: Jupyter Notebook - Size: 46.9 MB - Last synced at: 21 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

MavAayush/mrd-detection-flow

Unsupervised MRD detection in flow cytometry data using Variational AutoEncoder (VAE) and Gaussian Mixture Model (GMM).

Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Carmoruda/latent-cats

PyTorch-based pipeline that trains a convolutional variational autoencoder on cat images, optionally tunes hyperparameters with Ray Tune, and samples new images by fitting a Gaussian Mixture Model in the latent space.

Language: Python - Size: 63.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Mehrab404/AstroVAE-Variational-Autoencoder-for-Cosmological-Data-Compression

AstroVAE uses a Variational Autoencoder (VAE) to compress high-dimensional data from CAMELS cosmological simulations. It creates a compact, meaningful latent-space representation of complex astrophysical data, proving more effective at preserving critical scientific information than traditional methods.

Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Bronnan-Cook/VQ-VAE

A complete implementation of the VQ-VAE-2 framework by @google-deepmind with added improvements.

Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - 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: about 1 year ago - Stars: 0 - Forks: 0

sathya-ml/multimodal-vrnn-vae

A PyTorch implementation of multimodal VRNN and VAE.

Language: Python - Size: 26.4 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Tumuluri007/Generative-Models

Encoder and Decoder in VAE's.

Language: Jupyter Notebook - Size: 589 KB - Last synced at: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 516 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0