v0lta / PyTorch-Wavelet-ToolboxLinks
Differentiable fast wavelet transforms in PyTorch with GPU support.
☆413Updated 2 weeks ago
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:
- Fast implementation of the multi-dimensional fractional Fourier transform in Python☆52Updated 3 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 8 months ago
- This is an official pytorch implementation of Fast Fourier Convolution.☆386Updated last year
- DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning☆653Updated this week
- A python/pytorch package for invertible neural networks☆70Updated 2 years ago
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆115Updated 10 months ago
- Description: Frequency Augmented Variational Autoencoder for better Image Reconstruction☆44Updated 2 years ago
- Implementation of Depthwise Separable Convolution (pytorch)☆84Updated 5 years ago
- Multi-level Wavelet Convolutional Neural Networks☆300Updated 4 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆32Updated 4 years ago
- Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)☆435Updated last year
- Wavelet scattering transforms in Python with GPU acceleration☆826Updated last year
- PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)☆318Updated 4 years ago
- 1D interpolation for pytorch☆176Updated last year
- Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"☆380Updated 3 years ago
- A high-level toolbox for using complex valued neural networks in PyTorch☆746Updated last year
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆84Updated 4 years ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆158Updated 8 months ago
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆236Updated 2 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆110Updated this week
- This repository implements time series diffusion in the frequency domain.☆61Updated 11 months ago
- Implementation of a U-net complete with efficient attention as well as the latest research findings☆292Updated last year
- Discrete wavelet transform (DWT) via lifting in PyTorch☆22Updated 2 months ago
- PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.☆80Updated 3 years ago
- A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datase…☆86Updated last year
- PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models☆78Updated last year
- [NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository☆660Updated 3 years ago
- A demo of using Hilbert-Huang Transform (HHT) for non-stationary and non-linear signal analysis.☆111Updated 4 years ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆640Updated last month
- PyTorch implementation of normalizing flow models☆929Updated last year