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Search results for jupyter notebook neuromorphic computing
jupyter-notebook
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neuromorphic-computing
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9 search results found
Lava
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471
A Software Framework for Neuromorphic Computing
Lava Dl
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125
Deep Learning library for Lava
Models
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69
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
Lava Optimization
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47
Neuromorphic mathematical optimization with Lava
Lava Dnf
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39
Dynamic Neural Fields with Lava
Pynmsnn
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11
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Memristor Models
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8
Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.
Spike
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8
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
Event Based Velocity Prediction Snn
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5
Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed i
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