R-Time-Series-Task-View-Supplement
tslearn
| R-Time-Series-Task-View-Supplement | tslearn | |
|---|---|---|
| 1 | 51 | |
| 2 | 2,804 | |
| - | 1.4% | |
| 8.2 | 6.9 | |
| 5 days ago | 27 days ago | |
| Python | ||
| - | BSD 2-clause "Simplified" License |
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R-Time-Series-Task-View-Supplement
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R packages for finance
The R packages I have used most are quantmod and packages for GARCH such as rugarch and packages for vector autoregressions, listed in the Time Series task view , another task view for which I have created a supplement.
tslearn
What are some alternatives?
timemachines - Predict time-series with one line of code.
sktime - A unified framework for machine learning with time series
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
pytorch-forecasting - Time series forecasting with PyTorch
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.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
Finance-Using-Python - This product helps to understand the stocks in visual manner and as well as it saves the record. And help to predict the data
atspy - AtsPy: Automated Time Series Models in Python (by @firmai)
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
rocket - ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels