muslehal / xLSTMTimeLinks
xLSTMTime for time series forecasting
☆184Updated last year
Alternatives and similar repositories for xLSTMTime
Users that are interested in xLSTMTime are comparing it to the libraries listed below
Sorting:
- Time Series Forecasting with xLSTM☆50Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆190Updated 8 months ago
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆212Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆210Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆227Updated 5 months ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆277Updated 7 months ago
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆117Updated 2 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆196Updated last year
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆443Updated last year
- [TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k …☆255Updated 2 weeks ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆369Updated 8 months ago
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆221Updated 2 weeks ago
- [IEEE IoT-J 2026] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." …☆140Updated last month
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆250Updated last year
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆122Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆406Updated last year
- A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.☆185Updated 2 years ago
- Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/…☆104Updated 9 months ago
- Mamba for Multivariate Time Series Forecasting☆85Updated 9 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆98Updated 11 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆138Updated last year
- ☆97Updated 7 months ago
- A code implementation of new papers in the time series forecasting field.☆125Updated 2 years ago
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆303Updated last year
- Resources about xLSTM by Sepp Hochreiter☆318Updated last year
- Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".☆271Updated 5 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆125Updated last year
- ☆58Updated last year
- ☆109Updated 8 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆121Updated 10 months ago