kyegomez / xLSTMLinks
Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"
☆119Updated 2 weeks ago
Alternatives and similar repositories for xLSTM
Users that are interested in xLSTM are comparing it to the libraries listed below
Sorting:
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆88Updated last year
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆169Updated 11 months ago
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆131Updated last year
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆294Updated last year
- Resources about xLSTM by Sepp Hochreiter☆318Updated 8 months ago
- ☆51Updated last year
- A easy to use implementation of xLSTM☆53Updated 10 months ago
- ☆136Updated last year
- ☆243Updated 5 months ago
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆107Updated 11 months ago
- An implementation of mLSTM and sLSTM in PyTorch.☆28Updated last year
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆105Updated 4 months ago
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆200Updated 2 weeks ago
- xLSTMTime for time series forecasting☆168Updated 8 months ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆119Updated 11 months ago
- A modified CNN architecture using Kolmogorov-Arnold Networks☆83Updated last year
- Temporal Kolmogorov-Arnold Transformer☆80Updated 7 months ago
- TKAN: Temporal Kolmogorov-Arnold Networks☆211Updated 7 months ago
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated 2 weeks 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
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆84Updated 7 months ago
- Simba☆211Updated last year
- Official repository for CVPR24 Precognition Workshop Paper: VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotem…☆144Updated last year
- ☆79Updated last month
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆45Updated last month
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆112Updated 4 months ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆91Updated 5 months ago
- [ICML 2025] Official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…☆89Updated 3 weeks ago
- ☆63Updated 4 months ago