# eddl

**Repository Path**: fireae/eddl

## Basic Information

- **Project Name**: eddl
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-18
- **Last Updated**: 2021-01-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p style="text-align: center;">
  <img src="https://github.com/deephealthproject/eddl/blob/master/docs/sphinx/source/_static/images/logos/logo-eddl-medium.png" alt="EDDL" height="140" width="300">
</p>

-----------------
![build](https://github.com/deephealthproject/eddl/workflows/build/badge.svg)
[![Documentation Status](https://readthedocs.org/projects/ansicolortags/badge/?version=latest)](https://deephealthproject.github.io/eddl/)
![GitHub release (latest by date)](https://img.shields.io/github/v/release/deephealthproject/eddl)
![GitHub](https://img.shields.io/github/license/deephealthproject/eddl)



**EDDL** is an open source library for Distributed Deep Learning and Tensor Operations in C++ for **CPU**, **GPU** and **FPGA**. EDDL is developed inside the DeepHealth project. For more information about DeepHealth project go to: [deephealth-project.eu](https://deephealth-project.eu/)

## Notice

Please note that EDDL is an ambitious project with few hands on it. Our short-term goal is to have an **stable** version with an easy installation over different platforms. Our second mid-term goal is to provide a good **coverage** of functionalities. And finally, our long-term goal is to improve the **performance** on the different devices.

 *"Plans are only good intentions unless they immediately degenerate into hard work"*

## Installation [here](https://deephealthproject.github.io/eddl/intro/installation.html)

## Getting started [here](https://deephealthproject.github.io/eddl/usage/getting_started.html)

## Documentation [here](https://deephealthproject.github.io/eddl/)

## Progress and coverage
- [Deep-learning features](https://github.com/deephealthproject/eddl/blob/master/docs/markdown/eddl_progress.md)
- [Tensor features](https://github.com/deephealthproject/eddl/blob/master/docs/markdown/eddl_progress_tensor.md)

## Python wrapper

If you are not a C++ fan, try [PyEDDL](https://github.com/deephealthproject/pyeddl), a python wrapper for this library.