The fastest way to compute matrix profiles on CPU and GPU!
-
Updated
Mar 11, 2024 - C++
The fastest way to compute matrix profiles on CPU and GPU!
A language for time-series analysis
A software package for statistically significant shapelet mining
Automatic forecasting and Bayesian modeling for time series with Stan
Basis Function Expansion C++ library and Python package for running N-body galactic simulations and dynamical discovery
Automatic Time Series Forecasting and Missing Values Imputation
Fast Bayesian Hidden Markov Model with Wavelet Compression
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-…
A C++17 technical indicator library for time series data
Bias correction command-line tool for climatic research written in C++
Time Series Quick Simulator - able to perform time series analysis and to setup validation experiments.
Dense Bag-of-Temporal-SIFT-Words
AnTi pipeline
A smart IoT heart‐rate and SpO₂ monitoring system built on ESP8266 + MAX30100 with live Blynk dashboard and Python ML modules for anomaly detection.(Built in 2022-23)
Simple scrolling buffer I used for multimodal time series applications.
Several metrics to measure (dis)similarity between time series to perform time series clustering
Time series analysis library for econometrics in C++.
A rule learning algorithm for the deduction of syndrome definitions from time series data.
Add a description, image, and links to the time-series-analysis topic page so that developers can more easily learn about it.
To associate your repository with the time-series-analysis topic, visit your repo's landing page and select "manage topics."