Memae Anomaly Detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pyod | 7,751 |  | 3 | 60 | 4 months ago | 90 | November 18, 2023 | 189 | bsd-2-clause | Python |
| A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection) | ||||||||||
| Repo 2017 | 1,146 | 2 years ago | 1 | Python | ||||||
| Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano | ||||||||||
| Ad_examples | 738 | 2 years ago | 2 | mit | Python | |||||
| A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network. | ||||||||||
| Handson Unsupervised Learning | 604 | 3 months ago | 10 | Jupyter Notebook | ||||||
| Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media) | ||||||||||
| Memae Anomaly Detection | 312 | 2 years ago | 22 | mit | Python | |||||
| MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019. | ||||||||||
| Credit Card Fraud Detection Using Autoencoders In Keras | 289 | 5 years ago | 5 | mit | Jupyter Notebook | |||||
| iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data | ||||||||||
| Deepadots | 270 | 4 years ago | 7 | mit | Python | |||||
| Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series". | ||||||||||
| Deep Sad Pytorch | 268 | a year ago | 16 | mit | Python | |||||
| A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method. | ||||||||||
| Pytorch_cpp | 215 | 10 months ago | 5 | mit | C++ | |||||
| Deep Learning sample programs using PyTorch in C++ | ||||||||||
| Deep Learning For Hackers | 196 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
| Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) | ||||||||||
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