semvec/pypi-packages huggingface dataset:
pytorch-wrapper 1.1.0
PyTorchWrapper is a library that provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch. It also provides several ready to use modules and functions for fast model development.

# PyTorch Wrapper

![Logo](logo.png)

PyTorch Wrapper is a library that provides a systematic and extensible way to build, train, evaluate, and tune deep learning models
using PyTorch. It also provides several ready to use modules and functions for fast model development.

| Branch | Build | Coverage |
| :---: | :---: | :---: |
| Master | [![Build Status](https://travis-ci.com/jkoutsikakis/pytorch-wrapper.svg?branch=master)](https://travis-ci.com/jkoutsikakis/pytorch-wrapper) | [![Coverage Status](https://coveralls.io/repos/github/jkoutsikakis/pytorch-wrapper/badge.svg?branch=develop)](https://coveralls.io/github/jkoutsikakis/pytorch-wrapper?branch=master) |
| Develop | [![Build Status](https://travis-ci.com/jkoutsikakis/pytorch-wrapper.svg?branch=develop)](https://travis-ci.com/jkoutsikakis/pytorch-wrapper)| [![Coverage Status](https://coveralls.io/repos/github/jkoutsikakis/pytorch-wrapper/badge.svg?branch=develop)](https://coveralls.io/github/jkoutsikakis/pytorch-wrapper?branch=develop) |


## Installation

### From PyPI
```bash
pip install pytorch-wrapper
```

### From Source

```bash
git clone https://github.com/jkoutsikakis/pytorch-wrapper.git
cd pytorch-wrapper
pip install .
```

## Docs & Examples

The docs can be found [here](https://pytorch-wrapper.readthedocs.io/en/latest/).

There are also the following examples in notebook format:

1. [Two Spiral Task](examples/1_two_spiral_task.ipynb)
2. [Image Classification Task](examples/2_image_classification_task.ipynb)
3. [Tuning Image Classifier](examples/3_tuning_image_classifier.ipynb)
4. [Text Classification Task](examples/4_text_classification_task.ipynb)
5. [Token Classification Task](examples/5_token_classification_task.ipynb)
6. [Text Classification Task using BERT](examples/6_text_classification_task_using_bert.ipynb)
7. [Custom Callback](examples/7_custom_callback.ipynb)
8. [Custom Loss Wrapper](examples/8_custom_loss_wrapper.ipynb)
9. [Custom Evaluator](examples/9_custom_evaluator.ipynb)