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awesome-neuromorphic

A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
https://github.com/artiomn/awesome-neuromorphic

Last synced: 3 days ago
JSON representation

  • Spiking and Neuromorphic Frameworks

    • BindsNET - Python package used for simulating spiking neural networks (SNNs) on CPUs or GPUs using PyTorch Tensor functionality.
    • BrainCog - BrainCog is an open source spiking neural network based brain-inspired cognitive intelligence engine for Brain-inspired Artificial Intelligence and brain simulation.
    • CARLSim - CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
    • GeNN - GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
    • Intel LAVA - Software Framework for Neuromorphic Computing from Intel.
    • PyNN - Python package for simulator-independent specification of neuronal network models.
    • Moose - Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, circuits, and large networks.
    • Nengo - Python package for building, testing, and deploying spiking neural networks.
    • Nest - NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons.
    • NetPyNE - Python package to facilitate the development, simulation, parallelization, analysis, and optimization of biological neuronal networks using the NEURON simulator.
    • NEURON - The NEURON simulation environment is used in laboratories and classrooms around the world for building and using computational models of neurons and networks of neurons.
    • Sinabs - Open source PyTorch based library, developed to design and implement Spiking Convolutional Neural Networks (SCNNs).
    • SNN Torch - snnTorch is designed to be intuitively used with PyTorch, as though each spiking neuron were simply another activation in a sequence of layers. It is therefore agnostic to fully-connected layers, convolutional layers, residual connections, etc.

  • Robotic Toolkits

    • DART - Dynamic Animation and Robotics Toolkit.

  • Datasets and Dataset Tools

    • Tonic - Tonic is a tool to facilitate the download, manipulation and loading of event-based/spike-based data. It's like PyTorch Vision but for neuromorphic data.

  • Institutes and Groups

  • Hardware

Programming Languages
Python 3 C++ 2
Categories
Spiking and Neuromorphic Frameworks 13 Institutes and Groups 5 Hardware 5 Datasets and Dataset Tools 1 Robotic Toolkits 1
Sub Categories
SynSense 6 The Neuromorphic Vision and Natural Computation Team 2 Motiv NT 1 Brainchip 1
Keywords
spiking-neural-networks 3 computational-neuroscience 2 simulation 2 dynamic 1 gpu-computing 1 machine-learning 1 neurons 1 pytorch 1 reinforcement-learning 1 snn 1 stdp 1 synapse 1 brain-inspired-ai 1 brain-inspired-computation 1 brain-simulations 1 nvidia-cuda 1