TranAD VS ADBench

Compare TranAD vs ADBench and see what are their differences.

TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training. (by imperial-qore)
anomaly-detection transformer-models multi-head-attention unsupervised-learning adversarial-learning
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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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TranAD ADBench
1 1
462 777
7.6% -
2.9 6.9
6 months ago 9 months ago
Python Python
BSD 3-clause "New" or "Revised" License 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TranAD

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

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 TranAD and ADBench you can also consider the following projects:

Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

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

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

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

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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

AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

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

ronin - RoNIN: Robust Neural Inertial Navigation in the Wild

TranAD vs Transfer-Learning-Library ADBench vs UGFraud TranAD vs anomaly-detection-resources ADBench vs pygod TranAD vs pyod ADBench vs logparser TranAD vs anomalib ADBench vs MAGIST-Algorithm TranAD vs AugMax ADBench vs pyod ADBench vs fcdd ADBench vs ronin