A3 VS ADBench

Compare A3 vs ADBench and see what are their differences.

A3

Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in strict semi-supervised settings. Strong anomaly detection results are achieved on common data sets surpassing current baseline methods. Our semi-supervised anomaly detection method allows to inspect large amounts of data for anomalies across various applications. (by Fraunhofer-AISEC)
Paper anomaly-detection Data Mining anomaly semi-supervised-learning activation-analysis activation-anomaly-analysis ecml-pkdd Tensorflow2

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ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022. (by Minqi824)
anomaly-detection Benchmark Data Mining Deep Learning Machine Learning outlier-detection semi-supervised-learning supervised-learning unsupervised-learning data-sicence ensemble-learning neural-networks Python
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InfluxDB - Power Real-Time Data Analytics at Scale
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A3 ADBench
1 1
9 780
- -
0.0 6.9
almost 2 years ago 9 months ago
Python Python
GNU General Public License v3.0 or later BSD 2-clause "Simplified" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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A3

Posts with mentions or reviews of A3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-31.

ADBench

Posts with mentions or reviews of ADBench. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing A3 and ADBench you can also consider the following projects:

alibi-detect - Algorithms for outlier, adversarial and drift detection

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

awesome-TS-anomaly-detection - List of tools & datasets for anomaly detection on time-series data.

pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)

NAB - The Numenta Anomaly Benchmark

TranAD - [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

logparser - A machine learning toolkit for log parsing [ICSE'19, DSN'16]

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

fcdd - Repository for the Explainable Deep One-Class Classification paper

ronin - RoNIN: Robust Neural Inertial Navigation in the Wild

A3 vs alibi-detect ADBench vs UGFraud A3 vs awesome-TS-anomaly-detection ADBench vs pygod A3 vs NAB ADBench vs TranAD ADBench vs logparser ADBench vs MAGIST-Algorithm ADBench vs pyod ADBench vs fcdd ADBench vs ronin