☆111Mar 18, 2024Updated 2 years ago
Alternatives and similar repositories for eligibility_propagation
Users that are interested in eligibility_propagation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆64Feb 18, 2022Updated 4 years ago
- ☆32Jan 9, 2025Updated last year
- Long short-term memory Spiking Neural Networks☆112Feb 25, 2020Updated 6 years ago
- ☆18Oct 15, 2021Updated 4 years ago
- ☆22Sep 24, 2025Updated 9 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆48Jul 2, 2022Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆87Feb 17, 2023Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆59Jul 16, 2018Updated 7 years ago
- Implementation of feedback alignment learning in PyTorch☆32Jun 5, 2023Updated 3 years ago
- Event datasets and transforms.☆288Jun 10, 2026Updated 3 weeks ago
- ☆39Jan 26, 2022Updated 4 years ago
- Multidigraph learning (MDGL) for training recurrent spiking neural networks☆14Dec 18, 2021Updated 4 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆13Aug 15, 2022Updated 3 years ago
- 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.
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆61Jan 2, 2023Updated 3 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆117Feb 5, 2026Updated 5 months ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆25Feb 18, 2021Updated 5 years ago
- Spatio-temporal BP for SNNs☆241May 17, 2022Updated 4 years ago
- Neuromorphic simulator with two modes of computation☆13Mar 4, 2026Updated 4 months ago
- ☆26Jan 10, 2022Updated 4 years ago
- Spiking neural networks in JAX with equinox.☆31Aug 29, 2024Updated last year
- A Spiking neural network simulator NEST base on FPGA‘s cluster(LIF NEURON)☆18Nov 23, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆810Jun 22, 2026Updated 2 weeks ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆32Apr 8, 2025Updated last year
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 8 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆67Feb 11, 2021Updated 5 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- Synaptic Plasticity with Online Reinforcement learning☆28May 14, 2018Updated 8 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
- ☆10Mar 28, 2024Updated 2 years ago
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆2,059Updated this week
- 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.
- ☆54Dec 2, 2023Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40May 26, 2023Updated 3 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Sep 25, 2021Updated 4 years ago
- Spyx: Spiking Neural Networks in JAX☆135Apr 22, 2026Updated 2 months ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 4 years ago
- ☆19Mar 13, 2023Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆38Jun 7, 2021Updated 5 years ago