Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".
☆14Mar 1, 2024Updated 2 years ago
Alternatives and similar repositories for ANN2SNN_GN
Users that are interested in ANN2SNN_GN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆31Oct 20, 2023Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Sep 10, 2021Updated 4 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 3 years ago
- [ICLR 2024] Code implementation for "EventRPG: Event Data Augmentation with Relevance Propagation Guidance"☆13Jan 9, 2025Updated last year
- ☆57Jan 21, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Brando's utils☆17Jul 22, 2026Updated 3 weeks ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated 2 years ago
- 该仓库主要收录了顶会中SNN领域的一些论文,论文内容与代理梯度和ANN-SNN转换相关。☆19Jun 16, 2022Updated 4 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆21Aug 18, 2023Updated 3 years ago
- Initial toolchain for FeNN FPGA SNN accelerator☆17Updated this week
- ☆16Feb 10, 2023Updated 3 years ago
- An energy simulation framework for BPTT-based SNN inference and training.☆17Sep 6, 2023Updated 2 years ago
- ☆23Nov 28, 2022Updated 3 years ago
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆33May 8, 2024Updated 2 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.
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆20Jan 16, 2025Updated last year
- ☆73Aug 17, 2023Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆69Dec 8, 2023Updated 2 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
- ☆18Feb 18, 2022Updated 4 years ago
- Learning A Spiking Neural Network for Efficient Image Deraining (IJCAI 2024)☆78Jul 7, 2025Updated last year
- HedgeHog Fused Spiking Neural Network Emulator/Compute Engine is a hardware implementation of a SNN designed for implementation in Xilinx…☆62Feb 10, 2026Updated 6 months ago
- Quantization-aware training with spiking neural networks☆55Feb 18, 2022Updated 4 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.
- Hardware and software implementation of Sparsely-active SNNs☆25Mar 6, 2026Updated 5 months ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆29Dec 14, 2023Updated 2 years ago
- ☆63Aug 31, 2023Updated 2 years ago
- An automated HDC platform☆11Mar 16, 2026Updated 5 months ago
- High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.☆31Oct 11, 2025Updated 10 months ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆13Jan 31, 2024Updated 2 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆25Feb 9, 2020Updated 6 years ago
- Generate an FPGA design for a TWN☆11Nov 4, 2019Updated 6 years ago
- "Not too complicated" training code for CIFAR-10 by PyTorch Lightning☆12Jun 5, 2022Updated 4 years 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.
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated 2 years ago
- ☆10Jan 18, 2021Updated 5 years ago
- Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization☆11Aug 1, 2023Updated 3 years ago
- Convert AEDAT4 files from DV into AEDAT-2.0 files for jAER☆10Feb 23, 2024Updated 2 years ago
- A new model for quickly training and simulating adaptive leaky integrate-and-fire spiking neural networks.☆14Apr 9, 2024Updated 2 years ago
- Spiking neural network hardware for 7-Series FPGAs☆31Aug 31, 2025Updated 11 months ago
- ☆12Jul 7, 2023Updated 3 years ago