muditbhargava66 / PyxLSTMLinks
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
☆294Updated last year
Alternatives and similar repositories for PyxLSTM
Users that are interested in PyxLSTM are comparing it to the libraries listed below
Sorting:
- Resources about xLSTM by Sepp Hochreiter☆318Updated 8 months ago
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆169Updated 11 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated 2 weeks ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆88Updated last year
- ☆243Updated 5 months ago
- ☆51Updated last year
- xLSTMTime for time series forecasting☆168Updated 8 months ago
- ☆136Updated last year
- A easy to use implementation of xLSTM☆53Updated 10 months ago
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆131Updated last year
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆105Updated 4 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆186Updated last year
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆148Updated last month
- TKAN: Temporal Kolmogorov-Arnold Networks☆211Updated 7 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆313Updated 2 months ago
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆169Updated 5 months ago
- Minimal Mamba-2 implementation in PyTorch☆212Updated last year
- Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"☆197Updated 6 months ago
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆107Updated 11 months ago
- Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group☆511Updated last month
- An implementation of mLSTM and sLSTM in PyTorch.☆28Updated last year
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆112Updated 4 months ago
- ☆63Updated 4 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆211Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆171Updated 2 months ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆119Updated 11 months ago
- KAN for Vision Transformer☆250Updated 9 months ago
- Temporal Kolmogorov-Arnold Transformer☆80Updated 7 months ago
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆200Updated 2 weeks ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆184Updated last year