uzh-rpg / hybrid_ann_snnView external linksLinks
Implementation of "A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception". CVPRW 2024
☆35May 2, 2024Updated last year
Alternatives and similar repositories for hybrid_ann_snn
Users that are interested in hybrid_ann_snn are comparing it to the libraries listed below
Sorting:
- Optical Flow estimation from Event cameras and Spiking Neural Networks☆33May 3, 2024Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆62Apr 3, 2025Updated 10 months ago
- Offical implementation of High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference C…☆22Feb 3, 2026Updated 2 weeks ago
- snn implementation for spike-deeplab and spike-fcn☆12Dec 31, 2022Updated 3 years ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆73Dec 19, 2024Updated last year
- A pytorch implementation of spiking neural networks and backpropagation through spikes☆13Oct 3, 2024Updated last year
- Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".☆14Mar 1, 2024Updated last year
- [WACV 2024] Spiking Denoising Diffusion Probabilistic Models☆60Sep 26, 2025Updated 4 months ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆65Mar 3, 2024Updated last year
- Code for paper Spatiotemporal swin spikeformer for event-based optical flow estimation☆19Dec 10, 2024Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Jun 17, 2024Updated last year
- ☆40Dec 11, 2023Updated 2 years ago
- An energy simulation framework for BPTT-based SNN inference and training.☆17Sep 6, 2023Updated 2 years ago
- My implementation of Lagorce et al 2017: HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition☆18Jun 8, 2024Updated last year
- A programming framework based on PyTorch for hybrid neural networks with automatic quantization☆20Apr 11, 2024Updated last year
- Quantization-aware training with spiking neural networks☆51Feb 18, 2022Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆73Jul 19, 2022Updated 3 years ago
- Event datasets and transforms.☆267Oct 23, 2025Updated 3 months ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024)☆139Jan 2, 2025Updated last year
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆27Sep 17, 2025Updated 5 months ago
- An automated HDC platform☆11Updated this week
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆217May 10, 2024Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Feb 18, 2023Updated 3 years ago
- ☆53Apr 3, 2022Updated 3 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆136Jul 3, 2020Updated 5 years ago
- This is the implentation of our paper "SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking" i…☆43Mar 2, 2025Updated 11 months ago
- Coming soon☆24Oct 15, 2024Updated last year
- Learning Dense and Continuous Optical Flow from an Event Camera (TIP 2022)☆62Jan 13, 2023Updated 3 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆64Jul 28, 2021Updated 4 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆25Feb 9, 2020Updated 6 years ago
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆28Feb 21, 2024Updated last year
- Offical implementation of "MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map" (NeurIPS2024 Oral)☆34Jan 18, 2025Updated last year
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆67Apr 24, 2024Updated last year
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆125Nov 21, 2025Updated 2 months 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
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Sep 23, 2024Updated last year
- ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer☆389Jan 23, 2024Updated 2 years ago
- SyOPs counter for spiking neural networks☆72May 6, 2023Updated 2 years ago
- [ICCV-23] Masked Spiking Transformer☆33Mar 1, 2025Updated 11 months ago