☆73Jan 30, 2021Updated 5 years ago
Alternatives and similar repositories for DAGMM-pytorch
Users that are interested in DAGMM-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69May 12, 2020Updated 6 years ago
- DAGMM Tensorflow implementation☆181Jul 2, 2023Updated 2 years ago
- 基于神经网络的流量异常检测☆152Jul 28, 2020Updated 5 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆14Aug 4, 2024Updated last year
- 基于图挖掘的网络异常检测系统的研究与实现☆11Sep 24, 2018Updated 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.
- LSTM-VAE for Time Series Anomaly Detection☆10Feb 21, 2021Updated 5 years ago
- Code for PAKDD 2023 paper: TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversaria…☆12Nov 29, 2024Updated last year
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57May 30, 2018Updated 8 years ago
- ☆21Jul 12, 2022Updated 3 years ago
- Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"☆178Sep 30, 2021Updated 4 years ago
- PatchAD, TBD 2025, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Tim…☆46Aug 18, 2025Updated 9 months ago
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13May 15, 2019Updated 7 years ago
- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆18Aug 17, 2024Updated last year
- Anomaly detection for timeseries basing on Variational AutoEncoder.☆17Sep 6, 2022Updated 3 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.
- ☆12Nov 6, 2017Updated 8 years ago
- ☆15Feb 26, 2022Updated 4 years ago
- Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering☆42Jan 23, 2023Updated 3 years ago
- ☆11Apr 4, 2022Updated 4 years ago
- List of papers & datasets for anomaly detection on multivariate time-series data.☆27Jul 3, 2022Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆93Oct 27, 2022Updated 3 years ago
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆19Feb 19, 2025Updated last year
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Mar 3, 2023Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 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.
- A project from EECS6414M of Winter 2020 at York University☆11Mar 26, 2020Updated 6 years ago
- ☆27Jan 20, 2023Updated 3 years ago
- 使用机器学习的恶意加密流量识别系统☆50Jan 8, 2024Updated 2 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆35Jan 13, 2024Updated 2 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 9 years ago
- 采用VAE模型实现网络流量异常检测，并结合联邦学习与蒸馏学习☆17Dec 1, 2023Updated 2 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- Small repo for implementing the 2018 EUROCRYPT paper "Simple Proofs of Sequential Work" by Cohen and Pietrzak. Also used as part of our C…☆10Aug 26, 2018Updated 7 years ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆46Jun 13, 2022Updated 4 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.
- Code implementation for : [Graph Neural Network-Based Anomaly Detection in Multivariate Time Series(AAAI'21)](https://arxiv.org/pdf/2106.…☆19Feb 17, 2022Updated 4 years ago
- ☆15Jan 20, 2023Updated 3 years ago
- NSL KDD binary classification with Transformer☆10Aug 17, 2020Updated 5 years ago
- ☆24Apr 9, 2024Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆125Oct 25, 2022Updated 3 years ago
- SimAD, deep learning, anomaly detection, outlier detection, time series, TNNLS, 2025. "SimAD: A Simple Dissimilarity-based Approach for T…☆32Jan 19, 2026Updated 4 months ago
- 方圆的秒杀方 案优化实战项目，目前该项目做到的优化包括缓存、限流和异步削峰☆12Jun 26, 2025Updated 11 months ago