Blocks contributions

The blocks-contrib contains a variety of models and dataset interfaces implemented with [Blocks](https://github.com/bartvm/blocks).

This repository is meant to be a starting point if you want to:

• Learn to use Blocks by looking at implementations of simple models.
• Find reference implementations of research performed using Blocks.
• Use interfaces to datasets such as MNIST and the One Billion Words dataset.

Installation

To start looking at the examples in this repository, clone it to a directory of your choice

$ git clone git@github.com:bartvm/blocks-contrib.git

If you want to install the datasets, install this package in development mode by running the following command in the blocks-contrib folder:

$ python setup.py develop

If you want to update to the latest version, simply pull the latest changes from GitHub

$ git pull