ADBench VS TranAD

Compare ADBench vs TranAD and see what are their differences.

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
Source Code
Suggest alternative
Edit details

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
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
ADBench TranAD
1 1
780 464
- 4.3%
6.9 2.9
9 months ago 6 months ago
Python Python
BSD 2-clause "Simplified" License BSD 3-clause "New" or "Revised" 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.

ADBench

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

TranAD

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

What are some alternatives?

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

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

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

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

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

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

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

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

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

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

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