david-knigge / ccnnLinks
Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.
☆183Updated 3 months ago
Alternatives and similar repositories for ccnn
Users that are interested in ccnn are comparing it to the libraries listed below
Sorting:
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆116Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆218Updated 4 years ago
- Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, Co…☆170Updated 3 years ago
- [ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier☆68Updated last year
- Implementation of ResMLP, an all MLP solution to image classification, in Pytorch☆198Updated 2 years ago
- ☆199Updated last year
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 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
- An implementation of the efficient attention module.☆320Updated 4 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆259Updated 4 years ago
- A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks☆95Updated 4 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆44Updated last year
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- Transformers w/o Attention, based fully on MLPs☆94Updated last year
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆138Updated 5 months ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆56Updated 11 months ago
- Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.☆502Updated last year
- Implementation of Uformer, Attention-based Unet, in Pytorch☆95Updated 3 years ago
- A simple cross attention that updates both the source and target in one step☆178Updated last month
- ☆68Updated 3 years ago
- Sequencer: Deep LSTM for Image Classification☆143Updated 2 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆33Updated 3 years ago
- Differentiable fast wavelet transforms in PyTorch with GPU support.☆378Updated last month
- Pytorch cyclic cosine decay learning rate scheduler☆49Updated 4 years ago
- ☆25Updated 3 years ago
- MLP-Like Vision Permutator for Visual Recognition (PyTorch)☆192Updated 3 years ago
- About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf☆326Updated last year