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https://github.com/IDSIA/brainstorm
Fast, flexible and fun neural networks.
https://github.com/IDSIA/brainstorm
Last synced: about 2 months ago
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Fast, flexible and fun neural networks.
- Host: GitHub
- URL: https://github.com/IDSIA/brainstorm
- Owner: IDSIA
- License: other
- Created: 2014-10-25T10:20:48.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2022-09-13T16:34:08.000Z (over 2 years ago)
- Last Synced: 2024-10-01T13:48:05.605Z (3 months ago)
- Language: Python
- Homepage:
- Size: 1.2 MB
- Stars: 1,304
- Watchers: 97
- Forks: 152
- Open Issues: 27
-
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
Awesome Lists containing this project
- my-awesome-starred - brainstorm - Fast, flexible and fun neural networks. (Python)
README
Brainstorm
==========
| **Discontinuation Notice** |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Brainstorm is no longer being maintained, so we recommend using one of the many other,available frameworks, such as Tensorflow or Chainer. These and similar large projects are supported much more actively by a larger number of contributors. They provide, or plan to provide many available and planned features of brainstorm, and have several advantages, particularly in speed. In order to avoid fragmentation and waste of effort, we have decided to discontinue the brainstorm project and contribute to other frameworks and related projects such as [Sacred](https://github.com/IDSIA/sacred) instead. Many thanks to everyone who contributed! For us it has been a thoroughly enjoyable and educational experience. |
[](http://brainstorm.readthedocs.org/en/latest)
[](https://pypi.python.org/pypi/brainstorm)
[](http://choosealicense.com/licenses/mit)
Brainstorm makes working with neural networks fast, flexible and fun.
Combining lessons from previous projects with new design elements, and written entirely in Python, Brainstorm has been designed to work on multiple platforms with multiple computing backends.
Getting Started
---------------
A good point to start is the brief [walkthrough](https://brainstorm.readthedocs.org/en/latest/walkthrough.html) of the ``cifar10_cnn.py`` example.
More documentation is in progress, and hosted on [ReadTheDocs](https://brainstorm.readthedocs.org/en/latest/).
If you wish, you can also run the data preparation scripts (``data`` directory) and look at some basic examples (``examples`` directory).
Status
------
Brainstorm is discontinued.
The currently available feature set includes recurrent (simple, LSTM, Clockwork), 2D convolution/pooling, Highway and batch normalization layers. API documentation is fairly complete and we are currently working on tutorials and usage guides.
Brainstorm abstracts computations via *handlers* with a consistent API. Currently, two handlers are provided: `NumpyHandler` for computations on the CPU (through Numpy/Cython) and `PyCudaHandler` for the GPU (through PyCUDA and scikit-cuda).
Installation
------------
Here are some quick instructions for installing the latest master branch on Ubuntu.
```bash
# Install pre-requisites
sudo apt-get update
sudo apt-get install python-dev libhdf5-dev git python-pip
# Get brainstorm
git clone https://github.com/IDSIA/brainstorm
# Install
cd brainstorm
[sudo] pip install -r requirements.txt
[sudo] python setup.py install
# Build local documentation (optional)
sudo apt-get install python-sphinx
make docs
# Install visualization dependencies (optional)
sudo apt-get install graphviz libgraphviz-dev pkg-config
[sudo] pip install pygraphviz --install-option="--include-path=/usr/include/graphviz" --install-option="--library-path=/usr/lib/graphviz/"
```
To use your CUDA installation with brainstorm:
```bash
$ [sudo] pip install -r pycuda_requirements.txt
```
Set location for storing datasets:
```bash
echo "export BRAINSTORM_DATA_DIR=/home/my_data_dir/" >> ~/.bashrc
```
Help and Support
----------------
If you have any suggestions or questions, please post to the [Google group](https://groups.google.com/forum/#!forum/mailstorm).
If you encounter any errors or problems, please let us know by opening an issue.
License
-------
MIT License. Please see the LICENSE file.
Acknowledgements and Citation
-----------------------------
Klaus Greff and Rupesh Srivastava would like to thank Jürgen Schmidhuber for his continuous supervision and encouragement.
Funding from EU projects NASCENCE (FP7-ICT-317662) and WAY (FP7-ICT-288551) was instrumental during the development of this project.
We also thank Nvidia Corporation for their donation of GPUs.
If you use Brainstorm in your research, please cite us as follows:
Klaus Greff, Rupesh Kumar Srivastava and Jürgen Schmidhuber. 2016. Brainstorm: Fast, Flexible and Fun Neural Networks, Version 0.5. https://github.com/IDSIA/brainstorm
Bibtex:
```
@misc{brainstorm2015,
author = {Klaus Greff and Rupesh Kumar Srivastava and Jürgen Schmidhuber},
title = {{Brainstorm: Fast, Flexible and Fun Neural Networks, Version 0.5}},
year = {2015},
url = {https://github.com/IDSIA/brainstorm}
}
```