shilpakancharla / event-based-velocity-prediction-snnLinks
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 …
☆13Updated 3 years ago
Alternatives and similar repositories for event-based-velocity-prediction-snn
Users that are interested in event-based-velocity-prediction-snn are comparing it to the libraries listed below
Sorting:
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆63Updated 4 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆133Updated 5 years ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆32Updated 5 years ago
- A spiking graph neural network for event-based learning☆47Updated 4 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- ☆12Updated 4 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆45Updated last year
- Supervised Spiking Network☆81Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- Awesome Spiking Neural Networks☆140Updated 7 months ago
- Data encoders☆33Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- Neuromorphic mathematical optimization with Lava☆61Updated 3 months ago
- ☆31Updated 2 years ago
- An event-driven learning algorithm for spiking neural networks☆30Updated last year
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Long short-term memory Spiking Neural Networks☆107Updated 5 years ago
- spiking-neural-networks☆37Updated last month
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆133Updated 5 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆73Updated 2 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆34Updated 7 years ago
- Deep Residual Learning in Spiking Neural Networks☆184Updated 3 years ago
- Spiking Inception architecture for unsupervised Spiking Neural Networks☆10Updated 2 years ago
- Interactive Tutorials on Training Spiking Neural Network With Backprop☆44Updated 4 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆108Updated last week