angus924 / rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
☆429Updated 2 years ago
Alternatives and similar repositories for rocket:
Users that are interested in rocket are comparing it to the libraries listed below
- MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification☆295Updated 2 years ago
- Multiple pooling operators and transformations for fast and effective time series classification☆102Updated last year
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆597Updated 5 months ago
- InceptionTime: Finding AlexNet for Time Series Classification☆652Updated last year
- An example of time series augmentation methods with Keras☆341Updated 2 years ago
- PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series☆659Updated 3 weeks ago
- Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments☆396Updated 5 months ago
- Variational Recurrent Autoencoder for timeseries clustering in pytorch☆471Updated last year
- A Python package for time series augmentation☆349Updated 2 years ago
- Multivariate LSTM Fully Convolutional Networks for Time Series Classification☆103Updated 5 years ago
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆527Updated 2 years ago
- Multivariate LSTM Fully Convolutional Networks for Time Series Classification☆499Updated 4 years ago
- Multivariate Time Series Transformer, public version☆797Updated last year
- SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.☆339Updated 5 months ago
- Implementation of deep learning models for time series in PyTorch.☆379Updated 4 years ago
- Keras implementation of the Deep Temporal Clustering (DTC) model☆223Updated 2 years ago
- Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".☆261Updated 7 months ago
- A universal time series representation learning framework☆649Updated 5 months ago
- Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python☆210Updated last year
- Data augmentation using synthetic data for time series classification with deep residual networks☆185Updated 6 years ago
- An experiemtal review on deep learning architectures for time series forecasting☆139Updated 3 years ago
- A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.☆374Updated last year
- Flexible time series feature extraction & processing☆408Updated 4 months ago
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆869Updated last year
- An intuitive library to extract features from time series.☆959Updated 3 months ago
- Critical difference diagram with Wilcoxon-Holm post-hoc analysis.☆266Updated 2 years ago
- A comprehensive survey on the time series domains☆518Updated 9 months ago
- PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting☆267Updated 8 months ago
- Library of autoencoders for sequential data☆435Updated 10 months ago
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …☆819Updated last year