remigenet / TKAN
TKAN: Temporal Kolmogorov-Arnold Networks
☆200Updated 3 months ago
Alternatives and similar repositories for TKAN:
Users that are interested in TKAN are comparing it to the libraries listed below
- Temporal Kolmogorov-Arnold Transformer☆78Updated 3 months ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆116Updated 7 months ago
- Kolmogorov Arnold Network (KAN) for Time Series Forecasting (TSF)☆100Updated 3 weeks ago
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆245Updated 7 months ago
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆401Updated 9 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆178Updated 8 months ago
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆368Updated 11 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆153Updated 4 months ago
- Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion…☆185Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆76Updated 10 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆202Updated 9 months ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆86Updated 10 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆266Updated 2 months ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆139Updated last month
- ☆128Updated 11 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆172Updated last year
- xLSTMTime for time series forecasting☆154Updated 4 months ago
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆287Updated 9 months ago
- An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations☆179Updated 4 months ago
- The tensorflow implementation of KANs☆52Updated 7 months ago
- ☆226Updated last month
- The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." This work is devel…☆127Updated 5 months ago
- Benchmarking and Testing FastKAN☆74Updated 10 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers."☆69Updated 2 years ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆121Updated 7 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆79Updated 3 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated last week
- FITS: Frequency Interpolation Time Series Analysis Baseline☆172Updated 4 months ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆229Updated 4 months ago
- Resources about xLSTM by Sepp Hochreiter☆311Updated 5 months ago