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...

• Updated Dec 9, 2022
• Jupyter Notebook

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.

• Updated Apr 26, 2022
• Jupyter Notebook

Pre-processing methods for mHealth and wearables data.

• Updated May 14, 2023
• Python

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

• Updated Jun 7, 2021
• Python

基于KNN和DTW的时间序列分类

• Updated Jun 3, 2020
• Python

FastDtw Implementation in C# focused on performance

• Updated Oct 29, 2024
• C#

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

• Updated Jan 10, 2024
• Jupyter Notebook

Well logs correlation using dynamic time warping

• Updated Feb 6, 2021
• Jupyter Notebook

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

• Updated Jun 2, 2025
• Python

A package for performing time series classification in Weka.

• Updated Aug 16, 2023
• HTML

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

• Updated Jan 20, 2021
• Jupyter Notebook

DTW based Text-Dependent Speaker Verification on ESP-EYE

• Updated May 12, 2020
• C

Generating Time Series Prototypes with ShapeDTW Barycenter Averaging

• Updated Jun 23, 2025
• Python

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

• Updated Jan 9, 2020
• MATLAB

Pose similarity between two videos (alphapose)

• Updated Feb 6, 2023
• Jupyter Notebook

Visualization of Elastic Warping of Time Series Data

• Updated May 9, 2025
• Python

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

• Updated Aug 1, 2022
• Python

New scalable Time Series classification developed in Python.

• Updated Apr 7, 2021
• TypeScript

⌨️ Keystroke Dynamics open srouce library

• Updated Jul 25, 2020
• Python

Code used to recreate the experiments in the paper 'Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning', published in Frontiers Astronomy and Space Sciences.

• Updated Sep 2, 2020
• Jupyter Notebook