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Examples

Here you will find some example notebooks to get more familiar with the Darts' API. All the notebooks are also available in ipynb format directly on github.

Multiple Time Series, Pre-trained Models and Covariates

Example notebook on training with multiple time series, pre-trained models and using covariates:

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   :maxdepth: 1

   examples/01-multi-time-series-and-covariates.ipynb

Data (pre) Processing

Data processing example notebook:

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   :maxdepth: 1

   examples/02-data-processing.ipynb

Transfer Learning Tutorial

A self-contained notebook showcasing examples of training some bigger models on large datasets of time series, and using such models to forecast new time series that have not been seen during training:

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   :maxdepth: 1

   examples/14-transfer-learning.ipynb

Fast Fourier Transform

FFT model example notebook:

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   examples/03-FFT-examples.ipynb

Recurrent Neural Networks

RNN model example notebook:

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   :maxdepth: 1

   examples/04-RNN-examples.ipynb

Temporal Convolutional Networks

TCN model example notebook:

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   :maxdepth: 1

   examples/05-TCN-examples.ipynb

Transformer Model

Transformer model example notebook:

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   :maxdepth: 1

   examples/06-Transformer-examples.ipynb

N-BEATS Model

N-BEATS model example notebook:

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   :maxdepth: 1

   examples/07-NBEATS-examples.ipynb

DeepAR Model

DeepAR model example notebook:

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   examples/08-DeepAR-examples.ipynb

DeepTCN Model

DeepTCN model example notebook:

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   examples/09-DeepTCN-examples.ipynb

Temporal Fusion Transformer (TFT) Model

TFT model example notebook:

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   :maxdepth: 1

   examples/13-TFT-examples.ipynb

Kalman Filter Model

Kalman filter model example notebook:

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   :maxdepth: 1

   examples/10-Kalman-filter-examples.ipynb

Gaussian Process Filter Model

Gaussian process filter model example notebook:

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   :maxdepth: 1

   examples/11-GP-filter-examples.ipynb

Dynamic Time Warping (DTW)

Dynamic time warping example notebook:

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   :maxdepth: 1

   examples/12-Dynamic-Time-Warping-example.ipynb