sid-roheda / Volterra-Neural-NetworksLinks
Code For Volterra Neural Networks
☆13Updated 2 years ago
Alternatives and similar repositories for Volterra-Neural-Networks
Users that are interested in Volterra-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT i…☆47Updated 6 months ago
- ☆56Updated last month
- Fast implementation of the multi-dimensional fractional Fourier transform in Python☆51Updated 3 years ago
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆115Updated 10 months ago
- Spectral Attention Autoregressive Model (SAAM)☆16Updated 3 years ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆61Updated last year
- Deep Learning Model for Signal Data☆93Updated 6 years ago
- A pip installable package for optimal transport inspired loss functions in the spectral domain. Can be used for audio applications such a…☆26Updated last month
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆84Updated 3 years ago
- Drop-in convolutional Kolmogorov-Arnold Network☆19Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Source code for the experiments of Trainable Fractional Fourier Transform paper submitted to IEEE Signal Processing Letters.☆18Updated last year
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆25Updated 4 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆91Updated 11 months ago
- [Not Official] Implementation DC-UNet, ICLR 2019☆56Updated last year
- Implementation of the transformer proposed in "Building Blocks for a Complex-Valued Transformer Architecture"☆87Updated 2 years ago
- Tips for best practices with filterbanks☆43Updated 7 months ago
- We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty vis…☆19Updated last year
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆91Updated last year
- pytorch implementation of complex convolutional neural network☆171Updated 5 years ago
- A easy to use implementation of xLSTM☆66Updated 4 months ago
- ☆39Updated 9 months ago
- Pytorch layers for Complex Valued Neural Networks☆31Updated last month
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆158Updated 7 months ago
- Transformer based Self-Attention for Complex Numbers☆14Updated 4 years ago
- A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.☆46Updated 2 years ago
- Hypercomplex Neural Networks with PyTorch☆56Updated 3 years ago
- Public repository for "DCT-Former: Efficient Self-Attention withDiscrete Cosine Transform"☆18Updated 2 years ago
- [ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models☆37Updated last year
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆72Updated 6 months ago