An academic project to introduce Dynamic Time Warping (DTW) distance into Matrix Profile.
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Updated
Sep 25, 2018 - C++
An academic project to introduce Dynamic Time Warping (DTW) distance into Matrix Profile.
C# binding for Khiva library.
Jupyter Notebooks for time series analysis using STUMPY (matrix profile)
golang library for computing matrix profiles along with other time series analysis features
An open-source library of algorithms to analyse time series in GPU and CPU.
Systolic array-based Matrix Profile Computation implemented in Vitis™ HLS for Xilinx FPGAs.
A python implementation of the SiMPle-Fast algorithm for audio motif detection
This is the core functions needed by the `tsmp` package. The low level and carefully checked mathematical functions are here. These are implementations of the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
R Functions implementing UCR Matrix Profile Algorithm
Time Series Anomaly Detection Solutions for KDD2021 UCR dataset
Publishing and analysing time series on the Semantic Web with Matrix Profile techniques
node-matrix-profile provides a binding to use SCAMP in your Node.js applications
NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploits modern 3D-stacked High Bandwidth Memory (HBM) to enable efficient and fast matrix profile computation near memory. Described in ICCD 2020 by Fernandez et al. https://people.inf.ethz.ch/omutlu/pub/NATSA_time-…
Time-series analysis using the Matrix profile in Julia
PhD Programme in Health Data Science - detecting life-threatening ECG patterns using low-end devices
The fastest way to compute matrix profiles on CPU and GPU!
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
Matrix Profile application in building energy field.
High-performance time series algorithms for Ruby
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