styalai / xLSTM-pytorchLinks
A easy to use implementation of xLSTM
☆53Updated 10 months ago
Alternatives and similar repositories for xLSTM-pytorch
Users that are interested in xLSTM-pytorch 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
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated 2 weeks ago
- ☆51Updated last year
- An implementation of mLSTM and sLSTM in PyTorch.☆28Updated last year
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆169Updated 11 months ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆148Updated last month
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆294Updated last year
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆105Updated 4 months ago
- Temporal Kolmogorov-Arnold Transformer☆80Updated 7 months ago
- TKAN: Temporal Kolmogorov-Arnold Networks☆211Updated 7 months ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆38Updated 7 months ago
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆144Updated 5 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆128Updated 9 months ago
- 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
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆67Updated 5 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆95Updated 8 months ago
- [ICML 2025] Official implementation of "AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasti…☆30Updated last month
- Time Series Forecasting with xLSTM☆43Updated 11 months ago
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆13Updated last year
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆143Updated last year
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆107Updated 11 months ago
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆112Updated 4 months ago
- ☆243Updated 5 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆184Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆186Updated last year
- ☆81Updated last month
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆45Updated last month
- ☆63Updated 4 months ago
- [ICML 2025] Official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…☆91Updated last month
- ☆18Updated last year