AI-Guru / xlstm-resourcesLinks
Resources about xLSTM by Sepp Hochreiter
☆315Updated 7 months ago
Alternatives and similar repositories for xlstm-resources
Users that are interested in xlstm-resources are comparing it to the libraries listed below
Sorting:
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆292Updated 11 months ago
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆167Updated 10 months ago
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆130Updated last year
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated 2 months ago
- xLSTMTime for time series forecasting☆164Updated 7 months ago
- Official repository of the xLSTM.☆1,903Updated 3 weeks ago
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆87Updated last year
- TKAN: Temporal Kolmogorov-Arnold Networks☆208Updated 6 months ago
- Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Fo…☆167Updated 3 weeks ago
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆181Updated 10 months ago
- Code for "Is Mamba Effective for Time Series Forecasting?"☆295Updated last month
- An implementation of mLSTM and sLSTM in PyTorch.☆28Updated last year
- The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting…☆162Updated 4 months ago
- ☆50Updated last year
- Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group☆498Updated 2 weeks ago
- MambaStock: Selective state space model for stock prediction☆155Updated last year
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆118Updated 10 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆82Updated 5 months ago
- Implementation of the proposed minGRU in Pytorch☆299Updated 3 months ago
- ☆133Updated last year
- Time Series Forecasting with xLSTM☆41Updated 10 months ago
- ☆78Updated 2 weeks ago
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆110Updated 3 months ago
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆314Updated last year
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆196Updated 2 months ago
- [Under Review] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." Thi…☆131Updated 7 months ago
- A easy to use implementation of xLSTM☆50Updated 9 months ago
- Variations of Kolmogorov-Arnold Networks☆115Updated last year
- ☆60Updated 3 months ago
- KAN for Vision Transformer☆248Updated 8 months ago