Getting started
- Overview
- Tutorials
Data
Training
Models
- Layers
- Utilities
- MLP
- RNNs
  - RNN
  - RNNPlus
- 1D CNNs
  - FCN
  - FCNPlus
  - ResNet
  - ResNetPlus
  - XResNet1d
  - XResNet1dPlus
  - ResCNN
  - TCN
  - InceptionTime
  - InceptionTimePlus
  - XceptionTime
  - XceptionTimePlus
  - OmniScaleCNN
  - XCM
  - XCMPlus
- RNN-CNNs
  - RNN_FCN
  - RNN_FCNPlus
- Wavelet-based NNs
  - mWDN
- Transformers
- ROCKETs
- Tabular models
  - Tabular Model
  - TabTransformer
- MultiInputNet
Utilities
- Time series utilities

Optimizers

This contains a set of optimizers.

`wrap_optimizer`[source]

wrap_optimizer(opt, **kwargs)

You can natively use any of the optimizers included in the fastai library. You just need to pass it to the learner as the opt_func.

In addition, you will be able to use any of the optimizers from:

Pytorch
torch_optimizer (https://github.com/jettify/pytorch-optimizer)

If you want to use any these last 2, you can use the wrap_optimizer function. Here are a few examples: