sktime-dl
tslearn
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| sktime-dl | tslearn | |
|---|---|---|
| 1 | 51 | |
| 599 | 2,780 | |
| 0.0% | 1.4% | |
| 5.3 | 6.9 | |
| 3 months ago | 6 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sktime-dl
tslearn
What are some alternatives?
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
sktime - A unified framework for machine learning with time series
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
pytorch-forecasting - Time series forecasting with PyTorch
darts - A python library for user-friendly forecasting and anomaly detection on time series.
neural_prophet - NeuralProphet: A simple forecasting package
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
hydra - HYDRA: Competing convolutional kernels for fast and accurate time series classification
R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis