Neuromorphic-Computing-Guide
NIPY
| Neuromorphic-Computing-Guide | NIPY | |
|---|---|---|
| 10 | - | |
| 252 | 734 | |
| - | 0.7% | |
| 5.0 | 8.9 | |
| 4 months ago | 8 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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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
NIPY
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Tracking mentions began in Dec 2020.
What are some alternatives?
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
lava - A Software Framework for Neuromorphic Computing
Bubbles - [NOT MAINTAINED] Bubbles – Python ETL framework
Spiking-Neural-Network - Pure python implementation of SNN
Dask - Parallel computing with task scheduling
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
NumPy - The fundamental package for scientific computing with Python.
Shallow-learning - Replicating brain's low energy high efficiency model architecture & calculating (maths)
SymPy - A computer algebra system written in pure Python
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.
SciPy - SciPy library main repository