K-H-Ismail / Dilated-Convolution-with-Learnable-Spacings-PyTorch
[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier
☆66Updated last year
Alternatives and similar repositories for Dilated-Convolution-with-Learnable-Spacings-PyTorch
Users that are interested in Dilated-Convolution-with-Learnable-Spacings-PyTorch are comparing it to the libraries listed below
Sorting:
- [WACV 2024] Spiking Denoising Diffusion Probabilistic Models☆47Updated last month
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆70Updated 2 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆59Updated last year
- Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)☆76Updated last year
- The repository corresponds to our paper https://www.nature.com/articles/s41467-024-51110-5☆21Updated 6 months ago
- ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units☆13Updated 7 months ago
- Implementation of Depthwise Separable Convolution (pytorch)☆79Updated 5 years ago
- Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…☆184Updated last week
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆79Updated last year
- [ECCV-24] Spiking Wavelet Transformer☆27Updated 4 months ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Ofiicial Implementation for Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data☆59Updated 10 months ago
- [IEEE Trans. AI 2024] Spiking Diffusion Models☆42Updated last month
- A simple minimal implementation of Reversible Vision Transformers☆125Updated last year
- ☆65Updated 6 months ago
- [ICCBDAI 2025] Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks☆16Updated last year
- [ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks☆36Updated last year
- ☆17Updated 11 months ago
- A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.☆41Updated last year
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆179Updated last year
- Denoising Masked Autoencoders Help Robust Classification.☆62Updated last year
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆57Updated 4 months ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆17Updated 2 years ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024，Spotlight 3%)☆114Updated 4 months ago
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆53Updated last month
- Mutual Information in Pytorch☆111Updated last year
- Offical implementation of "Spike-driven Transformer" (NeurIPS2023)☆257Updated last year
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆20Updated 3 years ago