fcdd VS vae-anomaly-detector

Compare fcdd vs vae-anomaly-detector 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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vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch. (by JGuymont)
vae Pytorch anomaly-detection Machine Learning Deep Learning variational-autoencoder
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fcdd vae-anomaly-detector
1 1
216 67
- -
4.8 0.0
9 months ago 10 months ago
Python Python
MIT License MIT 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)

vae-anomaly-detector

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

What are some alternatives?

When comparing fcdd and vae-anomaly-detector you can also consider the following projects:

ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

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

precision-recall-distributions - Assessing Generative Models via Precision and Recall (official repository)

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

ODMO - [ACMMM 2022] Official PyTorch Implementation of "Action-conditioned On-demand Motion Generation". ACM MultiMedia 2022.

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

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)

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

fcdd vs ADBench vae-anomaly-detector vs PyTorch-VAE fcdd vs pytorch-lightning vae-anomaly-detector vs precision-recall-distributions fcdd vs cflow-ad vae-anomaly-detector vs ODMO fcdd vs pygod fcdd vs pytorch-lightning fcdd vs pyod fcdd vs transformers