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…

machine-learning computer-vision image-processing ipython-notebook feature-extraction image-manipulation image-recognition image-analysis canny-edge-detection eigenfaces hough-lines sobel-filter sobel-operator dtw-algorithm python4everybody python4datascience tutor-milaan9

• 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.

dtw distance jupyter-notebook python3 speech-recognition speech-to-text speech-processing dtw-algorithm

• Updated Apr 26, 2022
• Jupyter Notebook

基于KNN和DTW的时间序列分类

tsc knn-classification dtw-algorithm

• Updated Jun 3, 2020
• Python

Pre-processing methods for mHealth and wearables data.

garmin pipeline dtw signal-processing basis empatica-e4 pre-processing empatica pre-process dtw-algorithm 0-preprocess

• Updated May 14, 2023
• Python

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

custom edit-distance gradient soft-dtw tensorflow2 dtw-algorithm

• Updated Jun 7, 2021
• Python

FastDtw Implementation in C# focused on performance

algorithm timeseries dtw pattern-recognition timeseries-analysis dtw-algorithm weighted-dtw

• Updated Aug 22, 2026
• C#

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

machine-learning random-forest numpy sklearn pandas xgboost kmeans-clustering stacked-ensembles timeseries-forecasting dtw-algorithm

• Updated Jan 10, 2024
• Jupyter Notebook

Well logs correlation using dynamic time warping

correlation stratigraphy well-logs dtw-algorithm

• Updated Feb 6, 2021
• Jupyter Notebook

A package for performing time series classification in Weka.

timeseries dtw weka weka-library timeseries-analysis weka-package dtw-algorithm

• Updated Aug 16, 2023
• HTML

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

machine-learning time-series dba data-augmentation averaging dtw-algorithm tsml time-series-averaging

• Updated Jun 2, 2025
• Python

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

music time-series dtw dynamic-time-warping dtw-algorithm

• Updated Jan 20, 2021
• Jupyter Notebook

DTW based Text-Dependent Speaker Verification on ESP-EYE

esp32 verification speaker speaker-verification esp-eye dtw-algorithm text-dependent

• Updated May 12, 2020
• C

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

matlab feature-extraction speech-recognition dtw-algorithm mfcc-algorithm

• Updated Jan 9, 2020
• MATLAB

Generating Time Series Prototypes with ShapeDTW Barycenter Averaging

timeseries dba dynamic-programming dtw-algorithm timeseriesnalysis timeseriesprototypes

• Updated Jun 23, 2025
• Python

Visualization of Elastic Warping of Time Series Data

timeseries time-series dynamic-time-warping timeseries-analysis dynamictimewarp dtw-algorithm dtw-distances elasticdistances

• Updated May 9, 2025
• Python

Pose similarity between two videos (alphapose)

python dtw jupyter-notebook gaussian ipynb cosine-similarity alphapose pose-similarity dtw-algorithm

• Updated Feb 6, 2023
• Jupyter Notebook

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.

python machine-learning dtw-algorithm dst-index

• Updated Sep 2, 2020
• Jupyter Notebook

New scalable Time Series classification developed in Python.

python algorithm dataset series-classification dtw-algorithm proximity-forest

• Updated Apr 7, 2021
• TypeScript

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

python machine-learning-algorithms speech-recognition handwriting-recognition hmm-viterbi-algorithm gmm-clustering dtw-algorithm

• Updated Aug 1, 2022
• Python

DTWBoost: A Dynamic Time Warping Enhanced SVM Classifier for Time Series Data

time-series artificial-intelligence svm-classifier dtw-algorithm

• Updated Aug 21, 2025
• TypeScript