Installation

Requirements

Pytorch

Neuralnet-pytorch is built on top of Pytorch, so obviously Pytorch is needed. Please refer to the official Pytorch website for installation details.

Other dependencies

In Neuralnet-pytorch, we use several backends to visualize training, so it is necessary to install some additional packages.

• Matplotlib
• Visdom
• TensorboardX

To install all dependencies in a go, simply open a Terminal session and execute

pip install matplotlib visdom tensorboardX

Install Neuralnet-pytorch

There are two ways to install Neuralnet-pytorch: via PyPi and Github. At the moment, the package is not available on Conda yet.

From PyPi

The easiest and quickest way to get Neuralnet-pytorch is to install the package from Pypi. In a Terminal session, simply type

pip install neuralnet-pytorch

From Github

To install the bleeding-edge version, which is highly recommended, run

pip install git+git://github.com/justanhduc/neuralnet-pytorch.git@master

We also provide a version with some fancy Cuda/C++ implementations collected on various sources. To install this version, run

pip install git+git://github.com/justanhduc/neuralnet-pytorch.git@fancy

Uninstall Neuralnet-pytorch

Simply use pip to uninstall the package

pip uninstall neuralnet-pytorch

Why would you want to do that anyway?

Upgrade Neuralnet-pytorch

Use pip with -U or --upgrade option

pip install -U neuralnet-pytorch

However, for maximal experience, please considering using the bleeding-edge version on Github.

Reinstall Neuralnet-pytorch

If you want to reinstall Neuralnet-pytorch, please uninstall and then install it again. When reinstalling the package, we recommend to use --no-cache-dir option as pip caches the previously built binaries

pip uninstall neuralnet-pytorch
pip install neuralnet-pytorch --no-cache-dir