☆16Feb 10, 2023Updated 3 years ago
Alternatives and similar repositories for ANN2SNN_COS
Users that are interested in ANN2SNN_COS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆63Aug 31, 2023Updated 2 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 3 years ago
- ☆31Oct 20, 2023Updated 2 years ago
- Create a new backward path for more accurate SNN gradients.☆17Aug 19, 2024Updated last year
- ☆16Feb 22, 2024Updated 2 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.
- ☆73Aug 17, 2023Updated 2 years ago
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆29Jan 7, 2024Updated 2 years ago
- SyOPs counter for spiking neural networks☆80May 6, 2023Updated 3 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Sep 14, 2022Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆75Jul 19, 2022Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Feb 18, 2023Updated 3 years ago
- ☆14Mar 8, 2023Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆123Aug 9, 2022Updated 4 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆35Dec 3, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆19Nov 18, 2024Updated last year
- ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units☆13Sep 20, 2024Updated last year
- [AAAI-25 Oral] Adaptive Calibration☆15Jul 6, 2025Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 8, 2022Updated 3 years ago
- ☆57Jan 21, 2024Updated 2 years ago
- ☆19Mar 13, 2023Updated 3 years ago
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆13Oct 26, 2025Updated 9 months ago
- Threshold annealing in binarized spiking neural networks☆15May 23, 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.
- Offical implementation of "Quantized Spike-driven Transformer" (ICLR2025)☆34Dec 23, 2025Updated 7 months ago
- [ECCV-24] Spiking Wavelet Transformer☆43Jul 13, 2025Updated last year
- [ICCV-23 + IJCV-26] Masked Spiking Transformer☆32May 10, 2026Updated 3 months 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
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Dec 30, 2021Updated 4 years ago
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆2,099Updated this week
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 4 years ago
- Deep Residual Learning in Spiking Neural Networks☆196Aug 9, 2022Updated 4 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆16Aug 19, 2024Updated last year
- 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.
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆62Apr 16, 2024Updated 2 years ago
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆150Apr 16, 2026Updated 3 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆88May 20, 2024Updated 2 years ago
- This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…☆16Oct 30, 2023Updated 2 years ago
- ☆12Nov 3, 2023Updated 2 years ago
- Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)☆195Apr 21, 2025Updated last year
- [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers☆14May 26, 2024Updated 2 years ago