There are 3 repositories under matrix-profile topic.
STUMPY is a powerful and scalable Python library for modern time series analysis
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
golang library for computing matrix profiles along with other time series analysis features
R Functions implementing UCR Matrix Profile Algorithm
High-performance time series algorithms for Ruby
Time-series analysis using the Matrix profile in Julia
An academic project to introduce Dynamic Time Warping (DTW) distance into Matrix Profile.
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-series-analysis-near-data_iccd20.pdf
C# binding for Khiva library.
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>.
Publishing and analysing time series on the Semantic Web with Matrix Profile techniques
PhD Programme in Health Data Science - detecting life-threatening ECG patterns using low-end devices
Matrix Profile application in building energy field.
Jupyter Notebooks for time series analysis using STUMPY (matrix profile)
node-matrix-profile provides a binding to use SCAMP in your Node.js applications
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