lava
Spiking-Neural-Network
| lava | Spiking-Neural-Network | |
|---|---|---|
| 3 | 1 | |
| 504 | 978 | |
| 2.6% | - | |
| 8.2 | 0.0 | |
| 7 days ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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lava
- GitHub - lava-nc/lava: A Software Framework for Neuromorphic Computing
- Lava v0.4.0 just released, an open source software framework, community contributions encouraged
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Programmability of neuromorphic chips these days?
Although it looks like Intel is trying hard to bring in the community with their Lava Framework which th why say let’s you develop ‘neuro-inspired’ apps that map to a neurotrophic computer. Might be worth checking out tbh?
Spiking-Neural-Network
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Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
I'm not very familiar with deep learning. How does this compare to the biomimicking Spike Time Dependent Plasticity of spiking neural networks?
https://github.com/Shikhargupta/Spiking-Neural-Network#train...
What are some alternatives?
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
azure-sdk-for-python - This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
norse - Deep learning for spiking neural networks
python-performance - Repository for the book Fast Python - published by Manning
Neuromorphic-Computing-Guide - Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
pyN - Neuron(s)-based library in Python using numpy and Blender Game Engine.
Pentest-Service-Enumeration - Suggests programs to run against services found during the enumeration phase of a Pentest
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.
pyshader - Write modern GPU shaders in Python!