Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks with Reinforcement Learning".
☆21May 26, 2022Updated 4 years ago
Alternatives and similar repositories for SNN-RL
Users that are interested in SNN-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reinforcement Learning for Spiking Neural Networks☆90Aug 14, 2024Updated last year
- Deep Spiking Reinforcement Learning☆27Oct 28, 2023Updated 2 years ago
- Reinforcement learning with a network of spiking agents☆22Jun 8, 2020Updated 6 years ago
- The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.☆13Apr 18, 2023Updated 3 years ago
- This repository contains the tutorials and homework assignments for CSCE 790: Neuromorphic computing course at UofSC.☆11Apr 12, 2023Updated 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.
- Examples of learning models in nengo☆20Sep 18, 2017Updated 8 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11May 5, 2022Updated 4 years ago
- ☆30Dec 8, 2020Updated 5 years ago
- 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
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆87Jul 3, 2026Updated last week
- A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks �…☆72Jul 15, 2025Updated 11 months ago
- Long short-term memory Spiking Neural Networks☆112Feb 25, 2020Updated 6 years ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆31Nov 25, 2022Updated 3 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆169Jun 10, 2019Updated 7 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.
- [CVPR 2025] Decision SpikeFormer: Spike-Driven Transformer for Decision Making☆19Aug 8, 2025Updated 11 months ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Aug 2, 2017Updated 8 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆19Jul 18, 2023Updated 2 years ago
- Code implementing a neuromorphic, spiking backpropagation algorithm on Intel's neuromorphic research processor, codenamed Loihi☆16Nov 14, 2024Updated last year
- An event-driven learning algorithm for spiking neural networks☆28May 15, 2024Updated 2 years ago
- A custom reinforcement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.☆35May 30, 2025Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆45Feb 29, 2024Updated 2 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆16Jun 2, 2022Updated 4 years ago
- For managing 2P imaging datasets from preprocessing to activity trace extraction☆10Apr 12, 2019Updated 7 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.
- Adaptable Agent Populations via a Generative Model of Policies☆12Oct 14, 2021Updated 4 years ago
- Official repository for "Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning".☆13Jan 25, 2023Updated 3 years ago
- Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and sig…☆14Aug 16, 2022Updated 3 years ago
- PyTorch implementation of DeepMind's "Human-level control through deep reinforcement learning"☆19Apr 6, 2020Updated 6 years ago
- Fullstack RAG as a service template☆27May 15, 2025Updated last year
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆33May 8, 2024Updated 2 years ago
- My Master Thesis☆13Sep 27, 2021Updated 4 years ago
- ☆22Jul 2, 2025Updated last year
- CoMeT is a new low-cost RowHammer mitigation that uses Count-Min Sketch-based aggressor row tracking, as described in our HPCA'24 paper h…☆11Jan 23, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆13Jun 21, 2025Updated last year
- A fault injection framework for spiking neural networks☆10Mar 20, 2026Updated 3 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- Integration bluerov containing path planner, pid controller, and computer vision system☆12Dec 9, 2022Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆20Jan 16, 2025Updated last year
- Metrics for spiking neural networks based on torchmetrics☆13Mar 27, 2023Updated 3 years ago
- PyTorch Implementation of Spiking Transformer with Spatial-Temporal Attention (CVPR 2025)☆78Jun 7, 2025Updated last year