remigenet / TKANLinks
TKAN: Temporal Kolmogorov-Arnold Networks
☆213Updated 9 months ago
Alternatives and similar repositories for TKAN
Users that are interested in TKAN are comparing it to the libraries listed below
Sorting:
- Temporal Kolmogorov-Arnold Transformer☆81Updated 8 months ago
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆114Updated 6 months ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆120Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆255Updated last year
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆148Updated 3 months ago
- Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion…☆221Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆83Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆176Updated 3 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆193Updated last year
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆296Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆38Updated 10 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆331Updated 4 months ago
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆438Updated last year
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆389Updated last year
- ☆246Updated 6 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆84Updated 8 months ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆229Updated last year
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆89Updated last year
- ☆136Updated last year
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆131Updated 10 months ago
- An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations☆188Updated 9 months ago
- A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.☆172Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆77Updated 7 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆40Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆187Updated last year
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated last week
- Mamba for Multivariate Time Series Forecasting☆60Updated 4 months ago
- xLSTMTime for time series forecasting☆174Updated 9 months ago
- ☆74Updated 6 months ago
- Time Series Forecasting with xLSTM☆46Updated last year