This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

I recorded 10 voices with the same words from myself and compared them with another 10 words from another person. I was able to find a threshold level that acknowledges and recognizes my own voice.

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

Pre-processing methods for mHealth and wearables data.

基于KNN和DTW的时间序列分类

FastDtw Implementation in C# focused on performance

Well logs correlation using dynamic time warping

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

A package for performing time series classification in Weka.

Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, Stacked Ensemble Regressor)

Aligning Music with Dynamic Time Warping Algorithm: Algorithmics (MTAT.03.238, 6 ECTS) course project

DTW based Text-Dependent Speaker Verification on ESP-EYE

Implementation of Speech Recognition System in MATLAB Environment using Correlation as well as using MFCC and DTW Algorithms.

Generating Time Series Prototypes with ShapeDTW Barycenter Averaging

Soft-DTW loss function for Keras/TensorFlow

Visualization of Elastic Warping of Time Series Data

Pose similarity between two videos (alphapose)

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

New scalable Time Series classification developed in Python.

⌨️ Keystroke Dynamics open srouce library