A wizard's guide to Adversarial Autoencoders
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Oct 17, 2021 - Python
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adversarial-autoencoders
Here are 20 public repositories matching this topic...
Tensorflow implementation of Adversarial Autoencoders
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Jan 10, 2019 - Python
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
pdf machine-learning deep-neural-networks deep-learning probability pytorch generative-adversarial-network gan mnist autoencoder anomaly-detection adversarial-learning adversarial-autoencoders aae novelty-detection nips-2018 deep-novelty-detection novelty-detector
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Dec 7, 2020 - Python
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 J…
deep-learning accounting pytorch fraud-prevention fraud-detection anomaly-detection adversarial-autoencoders forensic-accounting
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Aug 28, 2019 - Jupyter Notebook
Tensorflow implementation of adversarial auto-encoder for MNIST
tensorflow gan mnist autoencoder vae manifold adversarial-networks manifold-learning adversarial-autoencoders aae
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Nov 7, 2017 - Python
Open-set Recognition with Adversarial Autoencoders
machine-learning deep-neural-networks deep-learning probability pytorch generative-adversarial-network gan mnist autoencoder anomaly-detection adversarial-learning adversarial-autoencoders aae novelty-detection nips-2018 deep-novelty-detection novelty-detector wiml
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Jan 5, 2019 - Python
Tensorflow 2.0 implementation of Adversarial Autoencoders
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May 13, 2019 - Python
Adversarial Auto-encoders for Speech Based Emotion Recogntion
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Sep 22, 2018 - Python
Repository for the AugmentedPCA Python package.
machine-learning pca autoencoder dimensionality-reduction representation-learning autoencoders principal-component-analysis linear-models dimension-reduction factor-models adversarial-machine-learning adversarial-autoencoders factor-model adversarial-autoencoder fair-machine-learning supervised-autoencoder augmented-pca augmentedpca supervised-autoencoders
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Nov 8, 2024 - Python
A PyTorch implementation of Adversarial Autoencoders for unsupervised classification
astronomy cnn pytorch autoencoder unsupervised-learning adversarial-autoencoders autoencoder-classification
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Apr 8, 2021 - Jupyter Notebook
The source of the solution of SHL recognition challenge 2019 based on Semi-supervised Adversarial Autoencoders (AAE) for Human Activity Recognition (HAR)
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Sep 10, 2019 - Jupyter Notebook
Adversarial_Autoencoder by using tensorflow
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Jun 8, 2017 - Python
Data and Trained models can be downloaded from https://goo.gl/7PrKD2
tensorflow python3 gan dcgan generative-model vae wasserstein-gan variational-autoencoders adversarial-autoencoders improved-wasserstein
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Sep 7, 2017 - Jupyter Notebook
A repository containing my submissions for the evaluation test for prospective GSoC applicants for the DeepLense project
astronomy cnn pytorch google-summer-of-code gravitational-lensing unsupervised-learning adversarial-autoencoders pytorch-cnn autoencoder-classification
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Apr 8, 2021 - Jupyter Notebook
Pytorch implementation of Adversarial Autoencoder
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Dec 6, 2019 - Jupyter Notebook
Adversarial Autoencoder based text summarizer and comparison of frequency based, graph based, and several different iterations of clustering based text summarization techniques
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Mar 1, 2021 - Jupyter Notebook
Investigation into Generative Neural Networks.
python tensorflow keras generative-adversarial-network dcgan pixel-cnn variational-autoencoder wasserstein-gan adversarial-autoencoders conditional-gan fisher-gan autoregressive-neural-networks generative-neural-network
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Nov 2, 2018 - Python
Companion repository for the blog article on neural text summarization with a denoising-autoencoder
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Feb 9, 2022 - Jupyter Notebook
A PyTorch implementation of Adversarial Autoencoders
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Aug 25, 2024 - Python
We introduce AVATAR, a framework that combines Adversarial Autoencoders (AAE) with Autoregressive Learning for time series generation.
time-series generative-adversarial-network sequence-to-sequence time-series-analysis adversarial-autoencoders autoregressive-models generative-ai
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Oct 5, 2024 - Jupyter Notebook
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