NISCHALPI / xLSTM-and-mLSTMLinks
An implementation of mLSTM and sLSTM in PyTorch.
☆28Updated last year
Alternatives and similar repositories for xLSTM-and-mLSTM
Users that are interested in xLSTM-and-mLSTM are comparing it to the libraries listed below
Sorting:
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆87Updated 11 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆118Updated 2 months ago
- ☆50Updated last year
- A easy to use implementation of xLSTM☆49Updated 8 months ago
- Transformer model based on Kolmogorov–Arnold Network(KAN), which is an alternative of Multi-Layer Perceptron(MLP)☆28Updated this week
- Fourier Spatial-Temporal Network for Multivariate Time Series Forecasting☆11Updated 2 years ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆93Updated 6 months ago
- A pytorch implementation of Fourier Analysis Networks (FAN)☆35Updated 7 months ago
- Official code for MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting☆35Updated 8 months ago
- Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.☆43Updated 3 months ago
- ☆56Updated 2 months ago
- Temporal Kolmogorov-Arnold Transformer☆80Updated 5 months ago
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆291Updated 11 months ago
- ☆152Updated 10 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
- SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series☆46Updated 6 months ago
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆165Updated 9 months ago
- ☆98Updated 2 years ago
- The repo for reproducing the main results in TSMixer: An all-MLP Architecture for Time Series Forecasting.☆10Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆82Updated 5 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆195Updated 8 months ago
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆51Updated last year
- Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the thesis I wrote as …☆14Updated last year
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆46Updated 2 years ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆147Updated 3 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆122Updated 7 months ago
- ☆133Updated last year
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆54Updated 3 months ago
- Fast Convolutional KAN☆59Updated last year
- Community Implementation of *Temporal Latent Auto-Encoder* as described in [Temporal Latent Auto-Encoder: A Method for Probabilistic Mult…☆15Updated 2 years ago