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Search results for autoencoder representation learning
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14 search results found
Awesome Vaes
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448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Link Prediction
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216
Representation learning for link prediction within social networks
Variational Ladder Autoencoder
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198
Implementation of VLAE
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)
Featdepth
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143
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
Kate
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130
Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Srl Zoo
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98
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
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
Desom
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84
🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Deep Learning For Clustering In Bioinformatics
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62
Deep Learning-based Clustering Approaches for Bioinformatics
Transforming Autoencoder Tf
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59
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
Sdae
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42
Stacked Denoising AutoEncoder
Multi View Ae
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32
Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
Ctg Latentaes
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27
Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
Amr
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20
Official adversarial mixup resynthesis repository
Torchcoder
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12
PyTorch based autoencoder for sequential data
Label Free Xai
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10
This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.
Awesome Autoencoders For Representation Learning
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6
A curated list on the literature of autoencoders for representation learning.
Pcapae
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6
convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network traffic
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