☆145May 12, 2021Updated 5 years ago
Alternatives and similar repositories for ihmehimmeli
Users that are interested in ihmehimmeli are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- ☆14Dec 2, 2021Updated 4 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆326May 30, 2025Updated 11 months ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆275Nov 6, 2022Updated 3 years ago
- A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.☆19Jul 18, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆13Nov 20, 2020Updated 5 years ago
- ☆30Dec 8, 2020Updated 5 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆113Feb 25, 2020Updated 6 years ago
- Code for training binary and WTA SNNs☆17Mar 25, 2022Updated 4 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆20Sep 30, 2021Updated 4 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆19Apr 29, 2022Updated 4 years ago
- ☆32Jan 15, 2019Updated 7 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,675May 17, 2026Updated last week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆401Sep 7, 2021Updated 4 years ago
- ☆14Nov 20, 2019Updated 6 years ago
- Spatio-temporal BP for SNNs☆241May 17, 2022Updated 4 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆35Dec 3, 2021Updated 4 years ago
- ☆19Mar 10, 2022Updated 4 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Aug 7, 2019Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Sep 28, 2020Updated 5 years ago
- Event-Based Angular Velocity Regression with Spiking Networks☆115Apr 6, 2022Updated 4 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Differentiate notes using a spiking neural network☆50Nov 29, 2021Updated 4 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Jun 10, 2019Updated 6 years ago
- Pure python implementation of SNN☆1,197Jul 29, 2022Updated 3 years ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆14May 1, 2018Updated 8 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆26Apr 19, 2024Updated 2 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Mar 15, 2018Updated 8 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆74May 3, 2023Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆399Jan 13, 2023Updated 3 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
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12May 6, 2019Updated 7 years ago
- 本サンプルコードは「ゼロから学ぶスパイキングニューラルネットワーク」で取り扱っているコードをまとめたものです．☆18Jan 2, 2021Updated 5 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆804Feb 9, 2026Updated 3 months ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆37Sep 25, 2019Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 5 years ago
- This small deep learning dataset was developed for research on biologically plausible error-backpropagation and deep learning in spiking …☆32Jan 7, 2025Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Apr 22, 2024Updated 2 years ago