dtw
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The machine learning toolkit for time series analysis in Python
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Feb 19, 2026 - Python
DTW (Dynamic Time Warping) python module
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Mar 29, 2024 - Python
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
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Feb 12, 2026 - Python
Python implementation of soft-DTW.
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Jun 19, 2024 - Python
Transfer learning for time series classification
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Jun 6, 2019 - Python
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
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Oct 13, 2023 - Python
R Package for Time Series Clustering Along with Optimizations for DTW
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Feb 1, 2026 - R
Quantify the difference between two arbitrary curves in space
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Oct 18, 2025 - Jupyter Notebook
Data augmentation using synthetic data for time series classification with deep residual networks
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Oct 11, 2018 - Python
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
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Aug 3, 2021 - Python
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…
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Mar 15, 2023 - Jupyter Notebook
An implementation of soft-DTW divergences.
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Oct 14, 2021 - Python
Sync Toolbox - Python package with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)
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Feb 6, 2026 - Python
Dynamic Time Warping (DTW) library implementing lower bounds (LB_Keogh, LB_Improved...)
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Jan 30, 2020 - C++
Comprehensive dynamic time warping module for python
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Dec 30, 2022 - Python
Personal wake word detector
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Jul 12, 2023 - JavaScript
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
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Dec 30, 2024 - 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…
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Feb 1, 2024 - Python
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