A Python package used for simulating spiking neural networks (SNNs) on CPUs or GPUs using PyTorch Tensor functionality. BindsNET is a spiking neural network simulation library geared towards the development of biologically inspired algorithms for machine learning. This package is used as part of ongoing research on applying SNNs to machine learning (ML) and reinforcement learning (RL) problems in the Biologically Inspired Neural & Dynamical Systems (BINDS) lab.

Features

  • Documentation available
  • Examples available
  • Requires Python >=3.9,<3.12
  • Uses Docker
  • Neural network simulation library

Project Samples

Project Activity

See All Activity >

License

Affero GNU Public License

Follow BindsNET

BindsNET Web Site

Other Useful Business Software
Cut Cloud Costs with Google Compute Engine Icon
Cut Cloud Costs with Google Compute Engine

Save up to 91% with Spot VMs and get automatic sustained-use discounts. One free VM per month, plus $300 in credits.

Save on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
Try Compute Engine
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of BindsNET!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software, Python Reinforcement Learning Frameworks, Python Reinforcement Learning Libraries, Python Reinforcement Learning Algorithms

Registered

2024-08-19