tslearn
Time-series-classification-and-clustering-with-Reservoir-Computing
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tslearn | Time-series-classification-and-clustering-with-Reservoir-Computing | |
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51 | 1 | |
2,780 | 314 | |
1.4% | - | |
6.9 | 6.3 | |
5 days ago | 24 days ago | |
Python | Python | |
BSD 2-clause "Simplified" License | MIT License |
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tslearn
Time-series-classification-and-clustering-with-Reservoir-Computing
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Conversion of a dense feedforward neural net to a reservoir computer/ESN in Python/Pytorch
The most helpful, application-wise, seems to be built around this paper. There's an associated github repo, and a lighter intro to it via medium.
What are some alternatives?
sktime - A unified framework for machine learning with time series
python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
ai-seed - 1000+ ready code templates to kickstart your next AI experiment
pytorch-forecasting - Time series forecasting with PyTorch
machine_learning_basics - Plain python implementations of basic machine learning algorithms
neural_prophet - NeuralProphet: A simple forecasting package
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
dtan - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis
hdbscan - A high performance implementation of HDBSCAN clustering.