oneclasssvm

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odb9402 / OneClassClassifier

One-class classifiers for anomaly detection (outlier detection)

machine-learning outliers autoencoder outlier-detection knn anomaly-detection variational-autoencoder oneclasssvm isolationforest abnormal-detection deep-svdd

Updated Sep 2, 2020
Python

LordAlucard90 / Variational-AutoEncoder-For-Novelty-Detection

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A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.

neural-network keras python3 anomaly-detection variational-autoencoder novelty-detection oneclasssvm

Updated Jul 15, 2018
Python

This is a project to detect anomalies in pump sensor data using One-Class Support Vector Machines (SVM). The data is preprocessed by dropping columns with missing values and scaled using MinMaxScaler. The one-class SVM classifier is trained and used to predict anomalies in the data, which are then saved in a new file "results.csv".

scikit-learn pandas supervised-learning anomaly-detection oneclasssvm minmaxscaler