ThunderSVM: A Fast SVM Library on GPUs and CPUs
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Updated
Apr 1, 2024 - C++
ThunderSVM: A Fast SVM Library on GPUs and CPUs
A PyTorch implementation of the Deep SVDD anomaly detection method
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Repository for the Deep One-Class Classification ICML 2018 paper
Repository for the Explainable Deep One-Class Classification paper
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
Repository for the paper "Rethinking Assumptions in Anomaly Detection"
Pytorch implementation of code used for one-class anomaly detection based face anti-spoofing
Prior Generating Networks for Anomaly Detection
Deep One-Class Classification using Intra-Class Splitting
Repository for the Exposing Outlier Exposure paper
Anomaly IDS using a one-class autoencoder.
A pill quality control dataset and associated anomaly detection example
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
CLEAR: Cumulative LEARning for one-shot one-class image recognition (CVPR 2018)
ALPUD: Active Learning from Positive and Unlabeled Data
Subspace Support Vector Data Description
One-class classification approach using error of image transformation into one image
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