A library for deep learning with spiking neural networks
Project description
Myelin
A library to do deep learning with spiking neural networks.
Getting Started
The primary dependencies of this project are torch, tensorflow and OpenAI gym.
A more comprehensive list of dependencies can be found in myelin.yml.
Examples
The directory myelin/task contains three example experiments. You can execute them by invoking the run_*.py scripts from this directory.
- To train a MNIST classification network, invoke
python run_mnist.py - To train a CIFAR classification network, invoke
python run_cifar.py - To train the cartpole balancing task with Policy gradient, invoke
python run_gym.py
The default choices of hyperparameters are meant as reasonable starting points, they can be improved upon.
License
LGPLv3. See LICENSE for license details.
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