Intelligent-Computing-Lab-Panda / Exploring-Lottery-Ticket-Hypothesis-in-SNNsView external linksLinks
Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
☆37Jul 18, 2022Updated 3 years ago
Alternatives and similar repositories for Exploring-Lottery-Ticket-Hypothesis-in-SNNs
Users that are interested in Exploring-Lottery-Ticket-Hypothesis-in-SNNs are comparing it to the libraries listed below
Sorting:
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆73Jul 19, 2022Updated 3 years ago
- ☆20Nov 26, 2022Updated 3 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Jul 7, 2022Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 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
- ☆43Jan 1, 2024Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18May 29, 2022Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆117Aug 9, 2022Updated 3 years ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆38Oct 7, 2021Updated 4 years ago
- Source code for AAAI 2024 paper "Finding Visual Saliency in Continuous Spike Stream"☆13Aug 21, 2025Updated 5 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Feb 18, 2023Updated 2 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 6 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- SelecMix: Debiased Learning by Contradicting-pair Sampling (NeurIPS 2022)☆13Jun 5, 2024Updated last year
- Optical Flow estimation from Event cameras and Spiking Neural Networks☆33May 3, 2024Updated last year
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆17Nov 28, 2023Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 3 years ago
- ☆34Feb 4, 2024Updated 2 years ago
- An event-driven learning algorithm for spiking neural networks☆30May 15, 2024Updated last year
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆14Apr 25, 2023Updated 2 years ago
- [ECCV2022] Spike Transformer: Monocular Depth Estimation for Spiking Camera☆33Dec 17, 2024Updated last year
- ☆15Dec 2, 2021Updated 4 years ago
- An energy simulation framework for BPTT-based SNN inference and training.☆17Sep 6, 2023Updated 2 years ago
- Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning☆19Sep 20, 2022Updated 3 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆19Nov 18, 2024Updated last year
- ☆71Aug 17, 2023Updated 2 years ago
- [PokerEvent Benchmark Dataset & SNN-ANN Baseline, IEEE TCDS 2025] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural …☆20May 6, 2025Updated 9 months ago
- Create a new backward path for more accurate SNN gradients.☆18Aug 19, 2024Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆46Aug 2, 2023Updated 2 years ago
- ☆22Jan 27, 2026Updated 2 weeks ago
- Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse☆18Oct 20, 2024Updated last year
- ☆17Feb 10, 2023Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- ☆19Mar 10, 2022Updated 3 years ago
- ☆21Dec 14, 2023Updated 2 years ago
- TQT's pytorch implementation.☆21Dec 17, 2021Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA☆28Nov 5, 2021Updated 4 years ago