fbcotter / scatnet_learn
Repo containing code to do the learnable scatternet/invariant convolutional layer
☆31Updated 5 years ago
Alternatives and similar repositories for scatnet_learn:
Users that are interested in scatnet_learn are comparing it to the libraries listed below
- Code for multichannel sparse blind deconvolution problem.☆12Updated 5 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆33Updated 3 years ago
- An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328☆43Updated 2 years ago
- Implementation of Depthwise Separable Convolution (pytorch)☆78Updated 5 years ago
- Wavelet CNN, Texture Classification in Keras☆52Updated 3 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated 2 years ago
- Neural network layer code to implement wavelet deconvolutions☆35Updated 5 years ago
- Reimplementing SOTA convolution variants with Tensorflow 2.0.☆17Updated 4 years ago
- Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…☆29Updated 2 years ago
- Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction☆38Updated last year
- ☆10Updated 5 years ago
- Implementation of an invariant scattering convolution network☆15Updated 7 years ago
- 1D Wasserstein Statistical Loss in Pytorch☆28Updated 4 years ago
- Hyper-Convolution Networks for Biomedical Image Segmentation☆29Updated 2 years ago
- Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT i…☆33Updated 11 months ago
- Fractional Fourier transforms for NumPy☆33Updated 10 years ago
- A MATLAB package for Shape-adaptive mode decomposition method proposed in "Decomposing non-stationary signals with time-varying wave-shap…☆12Updated 4 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆77Updated 3 years ago
- ☆34Updated 4 years ago
- ☆15Updated 5 years ago
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆25Updated 3 years ago
- Drop-in convolutional Kolmogorov-Arnold Network replacement of Conv2d☆18Updated 11 months ago
- TensorFlow implementation of descrete wavelets transforms☆51Updated 4 years ago
- MultiResUNet implementation in PyTorch; MultiResUNet: Rethinking the U-Net Architecture for Multimodal☆30Updated 4 years ago
- TensorFlow implementation of "Selective Kernel Networks"☆14Updated 5 years ago
- ☆28Updated 5 years ago
- This repository contains code for the super resolution of medical images using SRGAN and other comparative models, such as SRCNN, SRResNe…☆14Updated 6 years ago
- pytorch implementation of Hartley spectral pooling based on FFT☆15Updated 6 years ago
- ☆55Updated last year