bindsnet VS Sophysics2D

Compare bindsnet vs Sophysics2D and see what are their differences.

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bindsnet Sophysics2D
1 1
1,433 4
1.7% -
8.6 0.0
3 days ago about 1 year ago
Python Python
GNU Affero General Public License v3.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Sophysics2D

Posts with mentions or reviews of Sophysics2D. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing bindsnet and Sophysics2D you can also consider the following projects:

snntorch - Deep and online learning with spiking neural networks in Python

Lottery-Simulation - This program can simulate a number of drawings in the Lottery (6 out of 49). The guesses and the draws are chosen randomly and the user can choose how many right guesses there should be (0-6). Then the program will run through the simulation as many times as it takes to get the exact number of correct guesses the user chose. The user can also choose how many times this should be repeated (the higher the number, the more accurate the result will be). Then the program will automatically calculate the average number of tries it took to get the chosen number of correct guesses and tell the user the chance of getting this certain number of correct guesses.

norse - Deep learning for spiking neural networks

unknown-horizons - Unknown Horizons official code repository

spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

norse - Deep learning with spiking neural networks (SNNs) in PyTorch.

OpenWorm - Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues

Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP - What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

NeuroM - Neuronal Morphology Analysis Tool