siddharth-maddali / frftLinks
Fast implementation of the multi-dimensional fractional Fourier transform in Python
☆51Updated 3 years ago
Alternatives and similar repositories for frft
Users that are interested in frft are comparing it to the libraries listed below
Sorting:
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- Differentiable fast wavelet transforms in PyTorch with GPU support.☆381Updated this week
- A python/pytorch package for invertible neural networks☆65Updated 2 years ago
- PyTorch implementation of the fractional Fourier transform with trainable transform order.☆51Updated 3 months ago
- Source code for the experiments of Trainable Fractional Fourier Transform paper submitted to IEEE Signal Processing Letters.☆17Updated last year
- L1-regularized least squares with PyTorch☆68Updated 2 years ago
- Functional models and algorithms for sparse signal processing☆94Updated last year
- Complex tensor and complex functions for pytorch.☆49Updated 3 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆83Updated last year
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial…☆45Updated last year
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆100Updated last week
- The repository of the Fractional Fourier Transform Meets Transformer Encoder paper in IEEE Signal Processing Letters☆10Updated 2 years ago
- ☆16Updated 3 years ago
- An implementation of the Holistic Pursuit for the Multi-Layer Sparse Coding model. Contains a comparison to the projection pursuit algori…☆19Updated 6 years ago
- Repo containing code to do the learnable scatternet/invariant convolutional layer☆31Updated 5 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆38Updated 3 years ago
- Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)☆30Updated 4 years ago
- Pytorch implementation and comparison of Fourier Feature Networks and Sinusoidal Representation Networks☆12Updated 5 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 4 months ago
- [NeurIPS 2021] "Hyperparameter Tuning is All You Need for LISTA" by Xiaohan Chen, Jialin Liu, Zhangyang Wang and Wotao Yin☆23Updated 3 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆47Updated 2 months ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 3 years ago
- Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.☆100Updated 3 years ago
- Learning for computational imaging system made simple.☆65Updated 4 years ago
- Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB☆92Updated last year
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆25Updated 3 years ago
- Official implementation for "Deep Fractional Fourier Transform " [NeurIPS 2023]☆40Updated last year
- Official repo for "Learning the geometry of wave-based imaging"☆12Updated 4 years ago
- code to show F-Principle in the DNN training☆59Updated 2 years ago