fcdd
pyod
| fcdd | pyod | |
|---|---|---|
| 1 | 7 | |
| 217 | 8,013 | |
| - | - | |
| 4.8 | 7.5 | |
| 9 months ago | about 15 hours ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
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fcdd
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Python development in WSL2 + VS code... is it possibile?
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)
pyod
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A Comprehensive Guide for Building Rag-Based LLM Applications
This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
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Analyze defects and errors in the created images
PyOD
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Multivariate Outlier Detection in Python
Check out the algorithms and documentation in this toolkit. It’ll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
- Pyod – A Comprehensive and Scalable Python Library for Outlier Detection
- Predictive Maintenance and Anomaly Detection Resources
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[D] Unsupervised Outlier Detection - Advise Requested
The source code and documentaion of PyOD is the best survey about OOD. Besides, the normalized flow and VQVAE are also feasible.
- PyOD: ~50 anomaly detection algorithms in one framework.
What are some alternatives?
ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
tods - TODS: An Automated Time-series Outlier Detection System
vae-anomaly-detector - Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
alibi-detect - Algorithms for outlier, adversarial and drift detection
cflow-ad - Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
pycaret - An open-source, low-code machine learning library in Python
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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]
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis