v0lta / PyTorch-Wavelet-ToolboxLinks
Differentiable fast wavelet transforms in PyTorch with GPU support.
☆386Updated last month
Alternatives and similar repositories for PyTorch-Wavelet-Toolbox
Users that are interested in PyTorch-Wavelet-Toolbox are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet☆1,132Updated 2 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…☆183Updated 5 months ago
- Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.☆509Updated 2 years ago
- This is an official pytorch implementation of Fast Fourier Convolution.☆377Updated last year
- Fast implementation of the multi-dimensional fractional Fourier transform in Python☆50Updated 3 years ago
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆113Updated 7 months ago
- DCT (discrete cosine transform) functions for pytorch☆633Updated 2 years ago
- Fast Convolutional KAN☆64Updated last year
- DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning☆537Updated this week
- A python/pytorch package for invertible neural networks☆68Updated 2 years ago
- Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.☆148Updated 3 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆33Updated 4 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- Multi-level Wavelet Convolutional Neural Networks☆297Updated 4 years ago
- PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)☆317Updated 3 years ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆152Updated 4 months ago
- A high-level toolbox for using complex valued neural networks in PyTorch☆729Updated last year
- Implementation of a U-net complete with efficient attention as well as the latest research findings☆287Updated last year
- ☆57Updated 4 months ago
- 1D interpolation for pytorch☆174Updated last year
- A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datase…☆81Updated last year
- It contains the code for the paper Deep Adaptive Wavelet Network☆73Updated 3 years ago
- KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)☆36Updated last year
- [NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification☆489Updated 2 years ago
- Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction☆42Updated 2 years ago
- PyTorch implementation of normalizing flow models☆895Updated last year
- Complex tensor and complex functions for pytorch.☆49Updated 3 years ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆142Updated last year
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆617Updated 10 months ago
- Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)☆425Updated last year