Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
☆35Dec 3, 2021Updated 4 years ago
Alternatives and similar repositories for snn_optimal_conversion_pipeline
Users that are interested in snn_optimal_conversion_pipeline 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 Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated 2 years ago
- ☆31Oct 20, 2023Updated 2 years ago
- ☆59Aug 31, 2023Updated 2 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆20Sep 30, 2021Updated 4 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆42Oct 2, 2023Updated 2 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.
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆120Aug 9, 2022Updated 3 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
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 5 years ago
- ☆14Dec 2, 2021Updated 4 years ago
- Collect important papers about snn☆32Jul 15, 2021Updated 4 years ago
- ☆39Oct 27, 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
- Deep Residual Learning in Spiking Neural Networks☆192Aug 9, 2022Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆56Dec 8, 2022Updated 3 years ago
- ☆30Dec 8, 2020Updated 5 years ago
- [AAAI-25 Oral] Adaptive Calibration☆15Jul 6, 2025Updated 10 months ago
- ☆13Mar 8, 2023Updated 3 years ago
- Spatio-temporal BP for SNNs☆241May 17, 2022Updated 4 years ago
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"☆22Aug 12, 2022Updated 3 years ago
- Conversion from CNNs to SNNs using Tensorflow-Keras☆39Apr 29, 2024Updated 2 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 3 years ago
- ☆55Jan 21, 2024Updated 2 years 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.
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Sep 26, 2023Updated 2 years ago
- ☆257May 8, 2021Updated 5 years ago
- ☆23Nov 28, 2022Updated 3 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆401Sep 7, 2021Updated 4 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆326May 30, 2025Updated 11 months ago
- Pytorch project accompanying the paper "Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings", …☆13Aug 26, 2022Updated 3 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- An event-driven learning algorithm for spiking neural networks☆29May 15, 2024Updated 2 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.
- 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
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆24Dec 14, 2022Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Apr 22, 2024Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Sep 10, 2021Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- Update arXiv papers about Spiking Neural Networks daily.☆506May 12, 2026Updated last week
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Aug 18, 2023Updated 2 years ago