stumpy
numba-dpex
stumpy | numba-dpex | |
---|---|---|
6 | 1 | |
2,994 | 69 | |
1.0% | - | |
7.9 | 9.8 | |
about 1 month ago | 5 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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
numba-dpex
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Intel Extension for Scikit-Learn
> Intel are focused on data-parallel C++ for delivering high performance, rightly or wrongly.
They also invest efforts in making it possible to write high performance kernels in Python using an extension to the numba Python compiler:
https://github.com/IntelPython/numba-dppy
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
cuml - cuML - RAPIDS Machine Learning Library
awesome-time-series - Resources for working with time series and sequence data
scikit-learn - scikit-learn: machine learning in Python
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
awkward - Manipulate JSON-like data with NumPy-like idioms.
dotmotif - A performant, powerful query framework to search for network motifs
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
luminol - Anomaly Detection and Correlation library
CyberRadio - 📻 An SDR Based FM/AM Radio For Desktop. Accelerated with #cuSignal and Numba.