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Search results for pytorch variational autoencoder
pytorch
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variational-autoencoder
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79 search results found
Pytorch Vae
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5,292
A Collection of Variational Autoencoders (VAE) in PyTorch.
Benchmark_vae
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1,597
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Variational Autoencoder
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1,114
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Variational Autoencoder
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1,049
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Intro_dgm
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758
An Introduction to Deep Generative Modeling: Examples
Disentangling Vae
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668
Experiments for understanding disentanglement in VAE latent representations
Normalizing Flows
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520
PyTorch implementation of normalizing flow models
Vae Cvae Mnist
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508
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Pytorch Rl
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356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Pytorch Generative
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355
Easy generative modeling in PyTorch.
S Vae Pytorch
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214
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Cada Vae Pytorch
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208
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Brain Inspired Replay
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169
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Atomai
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164
Deep and Machine Learning for Microscopy
Vde
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161
Variational Autoencoder for Dimensionality Reduction of Time-Series
Soft Intro Vae Pytorch
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157
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Vae_vampprior
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151
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Codeslam
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146
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Musemorphose
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140
PyTorch implementation of MuseMorphose, a Transformer-based model for music style transfer.
Vame
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140
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Fusilli
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120
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
Variational Autoencoder Pytorch
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114
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
Normalizing Flows
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108
Understanding normalizing flows
Rectorch
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104
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Contiguous Succotash
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70
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
Gumbel_softmax_vae
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67
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
Unsuperviseddeeplearning Pytorch
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63
This repository tries to provide unsupervised deep learning models with Pytorch
Sqvae
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57
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Pytorch_csx
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54
PyTorch Taipei & NTU CS+X 讀書會
Openvae_continuallearning
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49
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Variational Sparse Coding
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47
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
Vae Pytorch
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46
AE and VAE Playground in PyTorch
Source Filter Vae
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42
Learning and controlling the source-filter representation of speech with a variational autoencoder
Scar
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41
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
Autoencoders Variants
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40
Pytorch implementations of various types of autoencoders
Vae_gumble_softmax
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38
pytorch implementation of VAE-Gumble-Softmax
Cvae Anomalydetection Pytorch
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36
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Playing_with_vae
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34
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Generative_continual_learning
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33
Mvae
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33
Mixed-curvature Variational Autoencoders (ICLR 2020)
Lossy Vae
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32
Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs
Ladder Vae Pytorch
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31
Ladder Variational Autoencoders (LVAE) in PyTorch
Vae Anomaly Detector
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29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Variational Nmt
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28
Variational Neural Machine Translation System
Qmldocker
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28
A docker container for quantum machine learning (QML) research
Federated Pytorch Test
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27
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
Svae_cf
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26
Sequential Variational Autoencoders for Collaborative Filtering
Vae Torch
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24
Variational autoencoder for anomaly detection (in PyTorch).
Gradient Boosted Normalizing Flows
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21
We got a stew going!
Disent And Gen
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20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Recvae
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20
The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
Srvae
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20
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218
Ima Vae
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19
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
Molecular Vae
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19
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Sae
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17
Accepted in MIDL 2020
Cvae
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17
collective Variational Autoencoder
Alphagan
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17
A PyTorch implementation of alpha-GAN
Linguistic Style Transfer Pytorch
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16
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Vae_based_segmentation
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15
Exploring variational-autoencoder-based semantic segmentation for analyzing CT-scans.
Pytorch_vae_cvae
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15
pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
Pytorch Mnist Vae
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14
Dirichlet Vae
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14
Dirichlet-Variational Auto-Encoder by PyTorch
Gee
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14
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Autoencoders
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14
Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
Cvae_dial
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14
CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Vae
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12
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
Hr Vae
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12
Code for the paper "A Stable Variational Autoencoder for Text Modelling"
Atomai
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11
Deep and machine learning for atomic-scale and mesoscale data
Sogmp
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10
[CoRL 2023] SOGMP++/SOGMP: Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
Aiqn Vae
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9
VAE + Quantile Networks for MNIST
Attend Infer Repeat Pytorch
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9
Attend Infer Repeat (AIR) in PyTorch
Planar Flow Pytorch
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9
Pytorch implementation of Planar Flow
Hetvae
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8
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Dvae Pytorch
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8
Denoising Variational Autoencoder
Pytorchavitm
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8
PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
Vae Pytorch
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7
Implementation of Variational Autoencoder in Pytorch
Chatbot
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6
Exploratory_data_analysis_and_ml_projects
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6
Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.
Variational Autoencoders For Collaborative Filtering Pytorch
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6
Implementation of variational autoencoders for collaborative filtering in PyTorch
Spavae
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5
Dependency-aware deep generative models for multitasking analysis of spatial genomics data
Topological Dvae
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5
An implementation of Denoising Variational AutoEncoder with Topological loss
Diverse_sampling
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5
Official project of DiverseSampling (ACMMM2022 Paper)
Pytorch Mnist Cvae
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5
Pytorch_vae Gmm
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5
Implementation of a model to make VAE and GMM train from each other
Antithetic Vae Public
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5
PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
Vae_iop
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5
pytorch implementation for "Variational Autoencoder with Implicit Optimal Priors".
Simplydeep
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5
A simple introduction to deep learning
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