pyod
stumpy
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| pyod | stumpy | |
|---|---|---|
| 7 | 6 | |
| 7,928 | 2,984 | |
| - | 1.9% | |
| 7.7 | 7.9 | |
| 16 days ago | 18 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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.
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.
stumpy
- Stumpy: Matrix profile time series analysis
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Time Series Analysis for air pollution data not aligned [R] [P]
Have you tried using STUMPY (https://github.com/TDAmeritrade/stumpy)?
- [D] STUMPY v1.11.0 Released for Modern Time Series Analysis
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[D][R] Clustering techniques for time series - MSc thesis
Haven't used it before, but I've seen a few powerpoints on https://github.com/TDAmeritrade/stumpy.
- Looking for a simple Time Series model for predicting stock prices
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
awesome-time-series - Resources for working with time series and sequence data
alibi-detect - Algorithms for outlier, adversarial and drift detection
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
pycaret - An open-source, low-code machine learning library in Python
luminol - Anomaly Detection and Correlation library
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
dotmotif - A performant, powerful query framework to search for network motifs
pymiere - Python for Premiere pro
pyvtreat - vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.