☆436Nov 12, 2020Updated 5 years ago
Alternatives and similar repositories for Efficient-GAN-Anomaly-Detection
Users that are interested in Efficient-GAN-Anomaly-Detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ALAD (Proceedings of IEEE ICDM 2018) official code☆138Mar 25, 2019Updated 7 years ago
- GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆889Feb 7, 2023Updated 3 years ago
- Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)☆281Apr 16, 2019Updated 7 years ago
- Code for reproducing f-AnoGAN training and anomaly scoring☆265May 2, 2019Updated 7 years ago
- Applied generative adversarial networks (GANs) to do anomaly detection for time series data☆584Aug 14, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Unsupervised anomaly detection with generative model, keras implementation☆182Oct 2, 2019Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆128Aug 12, 2019Updated 7 years ago
- A Tensorflow implementation of Improved GANs for semi supervised learning from Salimans et al.☆21Mar 1, 2019Updated 7 years ago
- anomaly detection with GAN☆95Feb 10, 2018Updated 8 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆150Jan 15, 2019Updated 7 years ago
- Fence GAN: Towards Better Anomaly Detection☆42Apr 20, 2021Updated 5 years ago
- implementation of BiGAN model using tensorflow☆16Oct 2, 2018Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 8 years ago
- Latent space autoregression for novelty detection.☆200Dec 12, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆131Dec 7, 2020Updated 5 years ago
- ☆21Sep 21, 2020Updated 6 years ago
- ☆25Oct 6, 2019Updated 6 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- GAAL-based Outlier Detection☆132Oct 25, 2022Updated 3 years ago
- Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset☆102Jul 28, 2017Updated 9 years ago
- A simple and effective method for single-class classification of images☆160Nov 29, 2021Updated 4 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Mar 3, 2023Updated 3 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Jun 19, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆75May 28, 2019Updated 7 years ago
- Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!☆9,395Mar 2, 2026Updated 6 months ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57May 30, 2018Updated 8 years ago
- A combination of Autoencoder and Robust PCA☆190Jun 28, 2024Updated 2 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Oct 19, 2019Updated 6 years ago
- MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsuper…☆516Aug 1, 2022Updated 4 years ago
- A curated list of awesome anomaly detection resources☆2,909Sep 20, 2022Updated 4 years ago
- A tensorflow implement for ganomaly☆36Dec 2, 2018Updated 7 years ago
- A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discov…☆872May 22, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Anomaly detection implemented in Keras☆372Apr 1, 2018Updated 8 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆68Apr 22, 2020Updated 6 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆265Nov 29, 2018Updated 7 years ago
- A PyTorch implementation of the Deep SVDD anomaly detection method☆786Dec 8, 2022Updated 3 years ago
- Repository for the One class neural networks paper☆167Apr 23, 2019Updated 7 years ago
- A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).☆25Mar 7, 2023Updated 3 years ago
- DAGMM Tensorflow implementation☆181Jul 2, 2023Updated 3 years ago