Real-time machine learning for Unity. Lightweight, OSC-controllable, and perfect for mobile and Mixed Reality. Explore the Unity-RTML-ToolKit! 🛠️🚀
The machine learning toolkit for time series analysis in Python
Framework for time series clustering & automatic selection of optimal cluster number and algorithm
Calculation of curve similarities for nd-array
Quantify the difference between two arbitrary curves in space
MATLAB scripts for preprocessing, normalizing, aligning, and analyzing EMG signals, including event detection, DTW alignment, cross-correlation, and PCA-based analysis.
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
wildboar is a Python module for temporal machine learning
Broadcast-style video & audio time compression — recreate Turner’s “skippy” time tailoring with synced video, audio, and subs.
R Package for Time Series Clustering Along with Optimizations for DTW
A Python library for computing the Mel-Cepstral Distance (Mel-Cepstral Distortion, MCD) between two inputs. This implementation is based on the method proposed by Robert F. Kubichek in "Mel-Cepstral Distance Measure for Objective Speech Quality Assessment".
A secure GUI-based voice authentication system for Windows startup, built in Python with MFCC + DTW.
🎛️ Real-Time ML in Unity. RTML Tool Kit is a lightweight, OSC-controllable machine learning framework for Unity, supporting Linear Regression, KNN, and DTW — designed for Mixed Reality and mobile deployment.
A Python tool for speech segment alignment using Dynamic Time Warping (DTW).
The simplest Dynamic Time Warping in C with Python bindings
Sync Toolbox - Python package with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)
Classification des battements cardiaques
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