# Examples¶

Here you will find some example notebooks to get more familiar with the API.

## darts intro¶

You will find below an example Jupyter notebook containing an intro to the usage of darts.

## Multiple Time Series, Pre-trained Models and Covariates¶

You will find below an example Jupyter notebook showcasing models trained on multiple time series, pre-trained models, and the usage of covariates.

## Data (pre) Processing¶

You will find below an example Jupyter notebook showcasing the data processing abilities of darts.

## Fast Fourier Transform¶

You will find below an example Jupyter notebook showcasing the usage of the FFT model

## Recurrent Neural Networks¶

You will find below an example Jupyter notebook showcasing the usage of the RNN model

## Temporal Convolutional Networks¶

You will find below an example Jupyter notebook showcasing the usage of the TCN model

## Transformer Model¶

You will find below an example Jupyter notebook showcasing the usage of the Transformer model

## N-BEATS Model¶

You will find below an example Jupyter notebook showcasing the usage of the N-BEATS model

## DeepAR Model¶

You will find below an example Jupyter notebook showcasing the usage of the DeepAR model

## DeepTCN Model¶

You will find below an example Jupyter notebook showcasing the usage of the DeepTCN model

## Kalman Filter Model¶

You will find below an example Jupyter notebook showcasing the usage of the Kalman filter model

## Gaussian Process Filter Model¶

You will find below an example Jupyter notebook showcasing the usage of the Gaussian Process filter model