The machine learning toolkit for time series analysis in Python

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

DTW (Dynamic Time Warping) python module

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

Python implementation of soft-DTW.

Transfer learning for time series classification

R Package for Time Series Clustering Along with Optimizations for DTW

Quantify the difference between two arbitrary curves in space

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

Data augmentation using synthetic data for time series classification with deep residual networks

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mod…

An implementation of soft-DTW divergences.

Sync Toolbox - Python package with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)

Dynamic Time Warping (DTW) library implementing lower bounds (LB_Keogh, LB_Improved...)

Comprehensive dynamic time warping module for python

Personal wake word detector

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…