stumpy
pyvtreat
| stumpy | pyvtreat | |
|---|---|---|
| 6 | 1 | |
| 2,994 | 114 | |
| 0.7% | 0.0% | |
| 7.9 | 6.9 | |
| about 1 month ago | 7 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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stumpy
- Stumpy: Matrix profile time series analysis
-
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
pyvtreat
-
Tidying up Pipelines with DataClasses
Handle the categorical columns using the vtreat package
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
scikit-learn - scikit-learn: machine learning in Python
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
awesome-time-series - Resources for working with time series and sequence data
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
luminol - Anomaly Detection and Correlation library
dotmotif - A performant, powerful query framework to search for network motifs
dask-awkward - Native Dask collection for awkward arrays, and the library to use it.
numba-dpex - Data Parallel Extension for Numba
jertl - A minimum viable Python package for processing structured data
anomstack - Anomstack - Painless open source anomaly detection for your metrics 📈📉🚀
distributed-compute-on-aws-with-cross-regional-dask - Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask.