foamliu / Conv-Autoencoder
Convolutional Autoencoder
☆24Updated 2 years ago
Alternatives and similar repositories for Conv-Autoencoder:
Users that are interested in Conv-Autoencoder are comparing it to the libraries listed below
- Unsupervised anomaly detection with generative model, keras implementation☆179Updated 5 years ago
- ☆50Updated 2 years ago
- Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf☆40Updated 6 years ago
- anomaly detection with GAN☆94Updated 6 years ago
- Implementation of GANomaly with MNIST dataset☆18Updated 5 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- Triplet Variational Autoencoder experiments for DDSM dataset☆22Updated 6 years ago
- Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.☆34Updated 3 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆59Updated 7 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)☆276Updated 5 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 5 months ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 5 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 6 years ago
- Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)☆42Updated 9 months ago
- Fence GAN: Towards Better Anomaly Detection☆39Updated 3 years ago
- anomaly detection using GAN☆16Updated last year
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆60Updated 7 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆66Updated last year
- Repository for the Deep One-Class Classification ICML 2018 paper☆247Updated 6 years ago
- implementation of BiGAN model using tensorflow☆16Updated 6 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated last year
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆50Updated 6 years ago
- Tensorflow 2.0 implementation of Adversarial Autoencoders☆20Updated 5 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆104Updated 4 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 6 years ago
- Prior Generating Networks for Anomaly Detection☆14Updated 4 years ago