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Search results for pytorch autoencoder
autoencoder
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pytorch
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130 search results found
Deeplearning Models
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16,142
A collection of various deep learning architectures, models, and tips
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Alae
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2,850
[CVPR2020] Adversarial Latent Autoencoders
Deeplearning_tutorials
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1,216
The deeplearning algorithms implemented by tensorflow
Deep Learning Experiments
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1,050
Videos, notes and experiments to understand deep learning
Deepsvg
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829
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Atlasnet
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561
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
Torchlayers
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547
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Vae Cvae Mnist
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508
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Generative Models
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414
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Pytorch Made
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397
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
Time Series Autoencoder
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386
📈 PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series 📈
Sequitur
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370
Library of autoencoders for sequential data
Metarec
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282
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Deepadots
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270
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Deep Sad Pytorch
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268
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Centersnap
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243
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
Vq Vae
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238
Minimalist implementation of VQ-VAE in Pytorch
Pytorch_cpp
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215
Deep Learning sample programs using PyTorch in C++
Vde
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161
Variational Autoencoder for Dimensionality Reduction of Time-Series
Image_similarity
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156
PyTorch Blog Post On Image Similarity Search
Unsupervisedpointcloudreconstruction
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154
Experiments on unsupervised point cloud reconstruction.
Swapping Autoencoder Pytorch
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153
Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch
Deep_image_prior
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146
Image reconstruction done with untrained neural networks.
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)
Net2net
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128
Network-to-Network Translation with Conditional Invertible Neural Networks
Oneshottranslation
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126
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Deepinfomaxpytorch
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123
Learning deep representations by mutual information estimation and maximization
Stacked Autoencoder Pytorch
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114
Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
Pt Dec
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114
PyTorch implementation of DEC (Deep Embedding Clustering)
Variational Autoencoder Pytorch
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114
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
Gpnd
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106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Rectorch
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104
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Mad Twinnet
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101
The code for the MaD TwinNet. Demo page:
Srl Zoo
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98
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Dialogwae
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95
Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)
Im Net Pytorch
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94
PyTorch 1.2 implementation of IM-NET.
Disent
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87
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
Shapegan
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85
Generative Adversarial Networks and Autoencoders for 3D Shapes
Gmvae
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82
Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
Zerospeech Tts Without T
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79
A Pytorch implementation for the ZeroSpeech 2019 challenge.
Deepai
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74
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
What
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71
Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
Contiguous Succotash
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70
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
Molencoder
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68
Molecular AutoEncoder in PyTorch
Gumbel_softmax_vae
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67
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
Pt Sdae
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64
PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
Unsuperviseddeeplearning Pytorch
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63
This repository tries to provide unsupervised deep learning models with Pytorch
Swae Pytorch
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59
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
Cytoself
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58
Self-supervised models for encoding protein localization patterns from microscopy images
Adversarial Autoencoder
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57
An adversarial autoencoder implementation in pytorch
Basic_nns_in_frameworks
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50
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
Abae Pytorch
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49
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
Recoder
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48
Large scale training of factorization models for Collaborative Filtering with PyTorch
Vae Pytorch
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46
AE and VAE Playground in PyTorch
Pytorchcrashcourse
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44
A few notebooks on deep learning with PyTorch
Irmae
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42
PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679
Autoencoders Variants
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40
Pytorch implementations of various types of autoencoders
Face Aging Caae Pytorch
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39
Age Progression/Regression by Conditional Adversarial Autoencoder
Pytorch_sac_ae
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38
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Pytorch_integrated_cell
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36
Integrated Cell project implemented in pytorch
Contractive_autoencoder_in_pytorch
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34
Pytorch implementation of contractive autoencoder on MNIST dataset
Pytorch Recurrent Ae Siggraph17
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29
Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactiv
Vae Anomaly Detector
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29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Ae Cnn
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29
(ICVGIP' 18 Oral Paper) Classification of thoracic diseases on ChestX-Ray14 dataset
Vae Pytorch
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27
Variational auto encoder in pytorch
Mmd Variational Autoencoder Pytorch Infovae
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26
Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
Deepad
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25
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Cae Admm
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25
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
Vae Torch
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24
Variational autoencoder for anomaly detection (in PyTorch).
Pt Avitm
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23
PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
Frame Predict Vae Lstm
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23
Predicting image frames using autoencoder and LSTM
Sae Pytorch
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23
PyTorch Implementation of SAE from AtoZ
Autoencoder
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22
Convolutional Autoencoder with SetNet in PyTorch
Geometric_adv
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21
Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Vde_metadynamics
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20
Enhanced protein mutational sampling using time-lagged variational autoencoders
Lstm Vae Torch
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20
A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)
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"
F Anogan_with_pytorch
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20
Scae Pytorch
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20
Stacked Capsule Autoencoders (SCAE) in PyTorch and their semantic interpretation
Neural File Sorter
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19
A neural network based file sorter. Trains an autoencoder to sort images or audio based on the similarity of their encodings, or uses the OpenAI CLIP model.
Waae Pytorch
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18
Wasserstein Adversarial Autoencoder Pytorch
Sae
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17
Accepted in MIDL 2020
Pytorch Hanbit
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17
Cvae
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17
collective Variational Autoencoder
Introduction To Deep Learning And Neural Networks Course
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16
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Optimal Textures
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16
Optimal deep texture generation and style transfer based on Eric Risser's paper
Gad Nr
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16
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Video_autoencoder
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15
Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
Pytorch_vae_cvae
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15
pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
Mlfas
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14
Machine Learning for Audio Signals in Python
Vistorch
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14
Interacting with Latent Space of AutoEncoder
Adversarial Video Summarization Pytorch
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14
video summarization lstm-gan pytorch implementation
Pytorch Mnist Vae
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14
Faceswap Autoencoder
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14
Pytorch implementation of a Face Swap Autoencoder
Autoencoders
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14
Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
Gee
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14
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Pytorch Text Vae
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13
A conditional variational autoencoder (CVAE) for text
Pytorch Sample Codes
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12
Nlg_autoencoder
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12
Natural Language Generation with a denoising autoencoder
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