muslehal / xLSTMTime
xLSTMTime for time series forecasting
☆154Updated 4 months ago
Alternatives and similar repositories for xLSTMTime:
Users that are interested in xLSTMTime are comparing it to the libraries listed below
- Time Series Forecasting with xLSTM☆36Updated 7 months ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆178Updated 8 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆172Updated 4 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆153Updated 4 months ago
- ☆49Updated 10 months ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆229Updated 4 months ago
- Kolmogorov Arnold Network (KAN) for Time Series Forecasting (TSF)☆100Updated 3 weeks ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆283Updated last year
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆116Updated 7 months ago
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆232Updated 4 months ago
- Resources about xLSTM by Sepp Hochreiter☆311Updated 5 months ago
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆287Updated 9 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated last week
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆202Updated 9 months ago
- The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." This work is devel…☆127Updated 5 months ago
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆176Updated 6 months ago
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆185Updated 4 months ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆155Updated 3 months ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆163Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆100Updated 3 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆172Updated last year
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆115Updated 5 months ago
- ☆71Updated 4 months ago
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆98Updated this week
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆94Updated last year
- Mamba for Multivariate Time Series Forecasting☆42Updated 7 months ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆86Updated 10 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆92Updated 5 months ago
- PyTorch Implementation of "TSMixer: An All-MLP Architecture for Time Series Forecasting"☆32Updated last year
- Open Implementations, Pre-training Code and Datasets of Large Time-Series Models☆261Updated this week