The Spiking Reservoir (Liquid State Machine - LSM) Simulator
☆64Sep 14, 2023Updated 3 years ago
Alternatives and similar repositories for Bee
Users that are interested in Bee are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Liquid State Machines in Python and NEST☆78Nov 6, 2020Updated 5 years ago
- A simple implementation of Liquid State machine using Leaky integrate and fire spiking neurons☆12Jan 16, 2018Updated 8 years ago
- Some of my initial studies using spiking neural networks and Python☆38Mar 3, 2022Updated 4 years ago
- Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)☆21Feb 14, 2022Updated 4 years ago
- A Liquid State Machine using quantized neurons that are operating on lower-bit representations and fixed point computations. It provides …☆16Apr 8, 2024Updated 2 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.
- ☆12Jun 21, 2026Updated 4 months ago
- Liquid is a simulator for liquid state machines (LSM). The emphasis is on developing intuitions about how these constructs work and visua…☆17May 17, 2013Updated 13 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18May 9, 2019Updated 7 years ago
- Long short-term memory Spiking Neural Networks☆113Feb 25, 2020Updated 6 years ago
- Echo state network framework, NARMA10 dataset generator as an demonstration supplied.☆23Mar 4, 2018Updated 8 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆30Nov 25, 2017Updated 8 years ago
- Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.☆11Feb 10, 2023Updated 3 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Jun 10, 2019Updated 7 years ago
- ☆27Mar 27, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆15Jun 22, 2023Updated 3 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Feb 12, 2014Updated 12 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆38Sep 25, 2019Updated 7 years ago
- ☆22Sep 24, 2025Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆54Sep 28, 2020Updated 6 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆89Mar 15, 2018Updated 8 years ago
- This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition☆15Mar 15, 2022Updated 4 years ago
- spiking-neural-networks☆37Oct 4, 2025Updated last year
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆398Jan 13, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Fully Hardware-Based Stochastic Neural Network☆23Jan 23, 2025Updated last year
- Some demo codes for the paper "A Vision Sensor Chip with Complementary Pathways for Open-world Sensing"☆12Jun 4, 2024Updated 2 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆326Jul 17, 2026Updated 3 months ago
- [ICLR 2025] Official Implementation of "TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting"☆27Mar 10, 2025Updated last year
- We study place and grid cells of an RL agent learns successor representations (SR) in compositional mazes.☆10Nov 9, 2022Updated 3 years ago
- A spiking graph neural network for event-based learning☆49Nov 30, 2020Updated 5 years ago
- Course material for SYDE 556/750 at UWaterloo, Winter 2020☆11Dec 2, 2021Updated 4 years ago
- CS4362 - Hardware Description Languages. Implemented SNN on an FPGA for real-time image processing using VHDL☆29Oct 6, 2026Updated 3 weeks ago
- Integrating Event-based Dynamic Vision Sensors with Sparse Hyperdimensional Computing☆13Jul 9, 2020Updated 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.
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Dec 7, 2021Updated 4 years ago
- [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"☆13May 2, 2022Updated 4 years ago
- Matlab implementation of Echo State Network (reservoir computing)☆28Aug 3, 2017Updated 9 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆138Feb 24, 2021Updated 5 years ago
- A simple and flexible code for Reservoir Computing architectures like Echo State Networks☆662Updated this week
- HNoCS: Modular Open-Source Simulator for Heterogeneous NoCs.☆13Dec 12, 2022Updated 3 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Feb 6, 2018Updated 8 years ago