fcdd VS ADBench

Compare fcdd vs ADBench and see what are their differences.

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

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 ADBench
1 1
216 782
- -
4.8 6.9
9 months ago 10 months ago
Python Python
MIT License BSD 2-clause "Simplified" License
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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)

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 fcdd and ADBench you can also consider the following projects:

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

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

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

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

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

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

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

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]

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