GenericNeuralNetwork
Generic Neural Network Python Library. Tested with an XOR example. (by amaynez)
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)
| GenericNeuralNetwork | Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP | |
|---|---|---|
| - | 1 | |
| 1 | 252 | |
| - | - | |
| 3.2 | 10.0 | |
| about 3 years ago | over 1 year ago | |
| HTML | Jupyter Notebook | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
GenericNeuralNetwork
Posts with mentions or reviews of GenericNeuralNetwork.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning GenericNeuralNetwork yet.
Tracking mentions began in Dec 2020.
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 GenericNeuralNetwork and Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP you can also consider the following projects:
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
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
NeuroM - Neuronal Morphology Analysis Tool
Spiking-Neural-Networ
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.
GenericNeuralNetwork vs dnn_from_scratch
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP 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 NeuroM
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 ALS_model