Nerve
Neuromorphic-Computing-Guide
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Nerve | Neuromorphic-Computing-Guide | |
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4 | 10 | |
42 | 247 | |
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6.2 | 5.0 | |
5 months ago | 4 months ago | |
C | Python | |
MIT License | - |
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Nerve
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[Hobby] I Need a Friendly Team. Your Experience Doesn't Matter!
Nerve (Neural Network Library) : https://github.com/fkkarakurt/Nerve
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Nerve | Neural Network Library
Did you find the short and concise documentation at https://github.com/fkkarakurt/Nerve/wiki insufficient? If so, I might consider making some improvements to it.
GITHUB REPO => https://github.com/fkkarakurt/Nerve WIKI => https://github.com/fkkarakurt/Nerve/wiki STRUCTURE => https://github.com/fkkarakurt/Nerve#internal-structure
Neuromorphic-Computing-Guide
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I am extremely interested second language acquisition and Artificial intelligence. How can I get into research?
Start reading papers on https://www.biorxiv.org/ and notice what seems most interesting or promising to you. Learn python. There are actually quite a few open source "into to machine learning" courses - maybe start with MIT's Learning Library, see what you find there. I also have this bookmarked for myself for later; I'm sure there are a few more goodies worth checking out here: https://github.com/mikeroyal/Neuromorphic-Computing-Guide
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Getting Started with Neuromorphic Computing
Tools and Resources for getting started with Neumorphic Computing. The process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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Neuromorphic Engineering
Neuromorphic engineering, which combines electrical, computer, and mechanical engineering with biology, physics, and neuroscience. uses specialized computing architectures that reflect the structure (morphology) of neural networks from the bottom up: dedicated processing units emulate the behavior of neurons directly in hardware, and a web of physical interconnections (bus-systems) facilitate the rapid exchange of information. Useful Tools and Resources for learning about Neuromorphic engineering.
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Neuromorphic Computing Guide
- Neuromorphic Computing that enables fast and power-efficient neural network–based artificial intelligence
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Neuromorphic Computing
Neuromorphic computing models the way the brain works through spiking neural networks and other types of neural networks. Useful Tools and Resources for learning about Neuromorphic Computing.
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Tools and Resources for Neuromorphic Computing
Useful Tools and Resources for learning about Neuromorphic Computing. Neuromorphic computing models the way the brain works through spiking neural networks and other types of neural networks.
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Tools and Resource for Neuromorphic Computing
UsefuleTools and Resource for about Neuromorphic Computing.
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Cool Neuromorphic Computing Guide/Wiki
Neuromorphic Computing Guide/Wiki: https://github.com/mikeroyal/Neuromorphic-Computing-Guide
What are some alternatives?
ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
lava - A Software Framework for Neuromorphic Computing
Genann - simple neural network library in ANSI C
Spiking-Neural-Network - Pure python implementation of SNN
iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.
spaCy - đź’« Industrial-strength Natural Language Processing (NLP) in Python
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
NIPY - Workflows and interfaces for neuroimaging packages
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
Shallow-learning - Replicating brain's low energy high efficiency model architecture & calculating (maths)