K-H-Ismail / Dilated-Convolution-with-Learnable-Spacings-PyTorchLinks
[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier
☆68Updated 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:
- 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 month
- [WACV 2024] Spiking Denoising Diffusion Probabilistic Models☆50Updated last month
- Ofiicial Implementation for Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data☆60Updated 11 months ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆59Updated last year
- Implementation of Depthwise Separable Convolution (pytorch)☆82Updated 5 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆80Updated last year
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆51Updated 8 months ago
- ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units☆14Updated 9 months ago
- Supervised Spiking Network☆80Updated 3 years ago
- PyTorch implementation of the ECCV 2020 paper "Gabor Layers Enhance Network Robustness".☆31Updated 4 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆70Updated 2 years ago
- A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.☆42Updated last year
- [ECCV-24] Spiking Wavelet Transformer☆27Updated 5 months ago
- Transformers w/o Attention, based fully on MLPs☆93Updated last year
- ☆35Updated 4 years ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024，Spotlight 3%)☆114Updated 5 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆56Updated last year
- [ICCBDAI 2025] Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks☆17Updated last year
- Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, Co…☆169Updated 2 years ago
- Unofficial PyTorch implementation of Dynamic Convolution: Attention over Convolution Kernels☆48Updated 10 months ago
- ☆17Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆59Updated 6 months ago
- ☆45Updated last year
- an implementation of FAdam (Fisher Adam) in PyTorch☆44Updated last year
- Testing Difference Target Propagation (DTP) on MNIST.☆12Updated 4 years ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆97Updated last year
- Implementation of the transformer proposed in "Building Blocks for a Complex-Valued Transformer Architecture"☆79Updated last year
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆17Updated 2 years ago