ADBench VS fcdd

Compare ADBench vs fcdd 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
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fcdd

Repository for the Explainable Deep One-Class Classification paper (by liznerski)
anomaly-detection Deep Learning one-class-learning xai explanations explainable-deepneuralnetwork Machine Learning deep-anomaly-detection Pytorch Python mvtec-ad
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ADBench fcdd
1 1
780 217
- -
6.9 4.8
9 months ago 8 months ago
Python Python
BSD 2-clause "Simplified" License MIT License
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ADBench

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

fcdd

Posts with mentions or reviews of fcdd. We have used some of these posts to build our list of alternatives and similar projects.
  • Python development in WSL2 + VS code... is it possibile?
    1 project | /r/learnpython | 7 Nov 2022
    Actually the only reason is that I often have to do with code which is only tested for Linux environments (e.g. https://github.com/liznerski/fcdd). Do you think there wouldn't be issues in running it on Windows? (obviously I know I should fix all the paths etc., I mean "deeper" issues)

What are some alternatives?

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

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

vae-anomaly-detector - Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

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

pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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

cflow-ad - Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

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

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

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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

ADBench vs UGFraud fcdd vs vae-anomaly-detector ADBench vs pygod fcdd vs pytorch-lightning ADBench vs TranAD fcdd vs cflow-ad ADBench vs logparser fcdd vs pygod ADBench vs MAGIST-Algorithm fcdd vs pytorch-lightning ADBench vs pyod fcdd vs pyod