remigenet / TKANLinks
TKAN: Temporal Kolmogorov-Arnold Networks
☆225Updated last year
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☆85Updated last year
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆117Updated 3 months ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆122Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆261Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆210Updated last year
- Resources about xLSTM by Sepp Hochreiter☆318Updated last year
- xLSTMTime for time series forecasting☆184Updated last year
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆303Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆189Updated 8 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆369Updated 8 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆98Updated 11 months ago
- Time Series Forecasting with xLSTM☆50Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆228Updated 5 months ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆159Updated 8 months ago
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year
- Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion…☆243Updated 2 years ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆91Updated last year
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆196Updated last year
- Mamba for Multivariate Time Series Forecasting☆85Updated 9 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆138Updated last year
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Updated last year
- ☆93Updated 11 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆250Updated last year
- A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.☆185Updated 2 years ago
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆218Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆39Updated last year
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆239Updated last year
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆255Updated 2 weeks ago
- ☆99Updated 8 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆122Updated 10 months ago