Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
☆32Apr 22, 2024Updated last year
Alternatives and similar repositories for torchneuromorphic
Users that are interested in torchneuromorphic are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An event based dataset loader under one common python API.☆10Mar 22, 2022Updated 4 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Oct 9, 2023Updated 2 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- ☆39Jan 26, 2022Updated 4 years ago
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12May 6, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆13Oct 1, 2020Updated 5 years ago
- Spiking neural networks (SNNs) for speech classification☆12Mar 14, 2022Updated 4 years ago
- Matlab code for a Spiking Neural Network for Visual Motion Estimation☆25Jun 14, 2019Updated 6 years ago
- A toolbox for neuromorphic sensing in robotics.☆16Mar 18, 2021Updated 5 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Nov 24, 2019Updated 6 years ago
- ☆42Sep 4, 2019Updated 6 years ago
- ☆32Jan 15, 2019Updated 7 years ago
- Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).☆17Mar 25, 2021Updated 5 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆26Apr 19, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆49Sep 5, 2020Updated 5 years ago
- ☆19Mar 10, 2022Updated 4 years ago
- Command line tools for event files☆12Oct 23, 2024Updated last year
- This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition☆13Mar 15, 2022Updated 4 years ago
- ☆32Jan 9, 2025Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆61Feb 18, 2022Updated 4 years ago
- Spiking 🧠 and artificial 🤖 RNN solutions to Speech Commands Dataset 🗣️ in TensorFlow☆14Feb 3, 2021Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆84Feb 17, 2023Updated 3 years ago
- Python code for event based vision☆67Feb 10, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Event datasets and transforms.☆279Mar 18, 2026Updated 3 weeks ago
- This is a project for the proposed Homeostasis-based ANN-to-SNN conversion for Inception and Residual architecture.☆10Nov 7, 2018Updated 7 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆65Dec 29, 2020Updated 5 years ago
- ☆26Jan 10, 2022Updated 4 years ago
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Oct 20, 2020Updated 5 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- An extention of pytorch for low precision training / inference☆10Aug 28, 2023Updated 2 years ago
- ☆14Dec 2, 2021Updated 4 years ago
- ☆18Oct 15, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Reproducing Spiking Transformers using Briancog☆14Apr 10, 2025Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆324May 30, 2025Updated 10 months ago
- An Address Event Representation toolbox for loading and visualising event data files in Python☆11Jul 6, 2023Updated 2 years ago
- Learning to race challenge for 2020 workshop☆15Jun 22, 2022Updated 3 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 8 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Apr 16, 2024Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Sep 28, 2020Updated 5 years ago