YihongDong / FANLinks
☆240Updated 3 months ago
Alternatives and similar repositories for FAN
Users that are interested in FAN are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆179Updated last year
- Code for "Is Mamba Effective for Time Series Forecasting?"☆286Updated 2 weeks ago
- Simba☆207Updated last year
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆108Updated 2 months ago
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆161Updated 3 months ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆146Updated 3 months ago
- Minimal Mamba-2 implementation in PyTorch☆198Updated 11 months ago
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆291Updated 11 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆181Updated 10 months ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆87Updated 11 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆163Updated 5 months ago
- ☆133Updated last year
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆189Updated 4 months ago
- A pytorch implementation of Fourier Analysis Networks (FAN)☆35Updated 7 months ago
- ikan: 给中文KAN学习者和开发者准备的各种KAN的详细的中文注释+使用例子☆267Updated this week
- ☆56Updated 2 months ago
- KAN for Vision Transformer☆247Updated 7 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆81Updated 5 months ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆82Updated 3 months ago
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆99Updated 2 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆118Updated 2 months ago
- Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.☆43Updated 3 months ago
- Official repository for CVPR24 Precognition Workshop Paper: VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotem…☆133Updated last year
- PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model …☆66Updated 7 months ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆125Updated 9 months ago
- [ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"☆311Updated 3 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆186Updated last month
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆104Updated 9 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆195Updated 8 months ago
- ☆152Updated 10 months ago