mauricekraus / xLSTM-Mixer
☆72Updated 5 months ago
Alternatives and similar repositories for xLSTM-Mixer:
Users that are interested in xLSTM-Mixer are comparing it to the libraries listed below
- SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series☆46Updated 5 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆49Updated 2 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆80Updated 4 months ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆35Updated 6 months ago
- This is the official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…☆65Updated 2 weeks ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆117Updated 8 months ago
- xLSTMTime for time series forecasting☆160Updated 5 months ago
- Temporal Kolmogorov-Arnold Transformer☆80Updated 4 months ago
- ☆70Updated last year
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆156Updated 4 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆93Updated 5 months ago
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated last month
- This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…☆45Updated 2 years ago
- ☆98Updated 2 years ago
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆75Updated 2 months ago
- Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecas…☆44Updated 6 months ago
- Mamba for Multivariate Time Series Forecasting☆44Updated this week
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆179Updated 9 months ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆39Updated last month
- Time-series forecasting with GNNs☆36Updated last year
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆119Updated 6 months ago
- ☆52Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆85Updated 6 months ago
- Unofficial Implementation of Long-term Forecasting with TiDE: Time-series Dense Encoder☆53Updated last year
- MambaStock: Selective state space model for stock prediction☆154Updated last year
- Time Series Forecasting, Distribution Shift☆83Updated last year
- WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting (AAAI-2025)☆35Updated 2 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆109Updated 3 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆97Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆179Updated 2 weeks ago