NeuroM
Neuronal Morphology Analysis Tool (by BlueBrain)
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. (by guillaume-chevalier)
| NeuroM | Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP | |
|---|---|---|
| 1 | 1 | |
| 99 | 252 | |
| - | - | |
| 7.5 | 10.0 | |
| 5 days ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" 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.
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.
NeuroM
Posts with mentions or reviews of NeuroM.
We have used some of these posts to build our list of alternatives
and similar projects.
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
Posts with mentions or reviews of Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-23.
What are some alternatives?
When comparing NeuroM and Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP you can also consider the following projects:
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
Spiking-Neural-Network - Pure python implementation of SNN
Genann - simple neural network library in ANSI C
Spiking-Neural-Networ
GenericNeuralNetwork - Generic Neural Network Python Library. Tested with an XOR example.
ALS_model - Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease of the adult, characterized by degeneration of motor neurons in the spinal cord, brain stem and motor cortex. There is no bio-informatic model of ALS.
NeuroM vs transformers
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP vs bindsnet
NeuroM vs bindsnet
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP vs Spiking-Neural-Network
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP vs Genann
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP vs Spiking-Neural-Networ
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP vs GenericNeuralNetwork
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP vs ALS_model