Custom TensorFlow2 implementations of forward and backward computation of soft-DTW algorithm in batch mode.

基于KNN和DTW的时间序列分类

Pre-processing methods for mHealth and wearables data.

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

Generating Time Series Prototypes with ShapeDTW Barycenter Averaging

Soft-DTW loss function for Keras/TensorFlow

Visualization of Elastic Warping of Time Series Data

⌨️ Keystroke Dynamics open srouce library

We are given 2 different problems to solve. 1. Isolated spoken digit recognition 2. Telugu Handwritten character recognition Both these datasets were given as a time series. 2 different methods were used to solve each of the problem: 1. Dynamic Time Warping 2. Hidden Markov Models

A simple, low-dependency package for aligning sentences by minimizing a chosen metric.

An application that automatically scores your mimics

TSGEM_Clustering can identify pattern changes of gene expression over time

The script generates two signals with different frequencies and align them in a time domain by computing distance matrix