Trajectory Analysis And Classification In Python Pandas And Scikit Learn
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 trajectories.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| K Nearest Neighbors With Dynamic Time Warping | 540 | 6 years ago | 7 | Jupyter Notebook | ||||||
| Python implementation of KNN and DTW classification algorithm | ||||||||||
| Sfa | 258 | 2 years ago | 7 | gpl-3.0 | Java | |||||
| Scalable Time Series Data Analytics | ||||||||||
| Bigdata18 | 230 | 5 years ago | gpl-3.0 | Python | ||||||
| Transfer learning for time series classification | ||||||||||
| Sequentia | 48 | a year ago | 26 | June 26, 2022 | mit | Python | ||||
| HMM and DTW-based sequence machine learning algorithms in Python following an sklearn-like interface. | ||||||||||
| Trajectory Analysis And Classification In Python Pandas And Scikit Learn | 25 | 3 years ago | apache-2.0 | 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 trajectories. | ||||||||||
| Mtss Multivariate Time Series Software | 18 | 4 years ago | mit | Cuda | ||||||
| A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS). | ||||||||||
| Mlots | 9 | 2 years ago | 45 | March 12, 2021 | bsd-3-clause | Jupyter Notebook | ||||
| mlots is python package that provides Machine Learning tools for Time-Series Classification. | ||||||||||
| Motionml | 8 | 9 years ago | bsd-2-clause | Python | ||||||
| Motion pattern recognition using KNN-DTW and classifiers from TinyLearn | ||||||||||
| Time Series Classification | 6 | a year ago | 1 | gpl-3.0 | HTML | |||||
| A package for performing time series classification in Weka. | ||||||||||
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