GENDIS
Pattern finder
An algorithm to discover small, discriminative patterns in time series data for classification tasks
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
103 stars
12 watching
25 forks
Language: Jupyter Notebook
last commit: over 1 year ago data-miningevolutionary-algorithmsshapeletstime-series-analysistimeseries-analysis
Related projects:
| Repository | Description | Stars |
|---|---|---|
| predict-idlab/tsflex | A toolkit for flexible time series processing and feature extraction. | 402 |
| predict-idlab/plotly-resampler | Library for dynamically aggregating large time series data in Plotly figures | 1,040 |
 xiaoyang-rebecca/patternrecognition_matlab | An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. | 71 |
 kdd-opensource/deepadots | A benchmarking pipeline for evaluating anomaly detection methods on time series data using deep learning algorithms | 566 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 405 |
 thedatumorg/kshape-matlab | A Matlab implementation of an efficient and accurate unsupervised method for clustering time-series data | 53 |
 mohaseeb/shaplets-python | A Python implementation of a shapelet-based time-series classification algorithm using gradient descent. | 218 |
 typilus/typilus | A tool that uses deep learning to predict types in Python code. | 59 |
 manuel-calzolari/sklearn-genetic | A genetic feature selection tool for machine learning models | 323 |
 skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,156 |
 dougsm/ggcnn | A deep learning-based system for generating precise grasp poses for robots in real-time | 514 |
 agrimgupta92/sgan | An implementation of a Generative Adversarial Network for predicting human trajectories in social scenarios. | 826 |
 nixtla/mlforecast | A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. | 899 |
 tgjeon/tensorflow-tutorials-for-time-series | A comprehensive guide to time series prediction using TensorFlow | 1,110 |
 christophm/rulefit | An algorithm implementation for rule-based prediction using gradient boosting and L1 regularization. | 411 |