SeyedMuhammadHosseinMousavi / Liquid-Neural-Networks-LNNs-ClassificationLinks
Liquid Neural Networks (LNNs) Classification, Clustering, and Regression
☆23Updated 8 months ago
Alternatives and similar repositories for Liquid-Neural-Networks-LNNs-Classification
Users that are interested in Liquid-Neural-Networks-LNNs-Classification are comparing it to the libraries listed below
Sorting:
- Liquid Neural Network☆20Updated 2 months ago
- Liquid neural networks for cancer image classification☆82Updated 2 years ago
- ☆70Updated 2 months ago
- Tutorial to implement Liquid Time-Constant Neural Network from scratch (eng\rus)☆29Updated last year
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆148Updated 2 months ago
- Temporal Kolmogorov-Arnold Transformer☆81Updated 8 months ago
- ☆38Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆83Updated last year
- FastONN - Python based open-source GPU implementation for Operational Neural Networks☆27Updated last year
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆145Updated last year
- ☆25Updated last year
- ☆15Updated last year
- ☆67Updated 5 months ago
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆106Updated 5 months ago
- TKAN: Temporal Kolmogorov-Arnold Networks☆212Updated 8 months ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆198Updated 7 months ago
- Drop-in convolutional Kolmogorov-Arnold Network replacement of Conv2d☆18Updated last year
- Higher-order Granger reservoir computing☆24Updated 7 months ago
- ikan: many kan variants for every body☆281Updated last month
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆255Updated 11 months ago
- Fast Convolutional KAN☆62Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆73Updated 6 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆65Updated last year
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆89Updated last year
- ☆163Updated last year
- Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.☆20Updated 2 years ago
- ☆17Updated last year
- A demo of using Hilbert-Huang Transform (HHT) for non-stationary and non-linear signal analysis.☆104Updated 4 years ago
- ☆30Updated 9 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆48Updated 2 years ago