styalai / xLSTM-pytorchLinks
A easy to use implementation of xLSTM
☆62Updated 2 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☆90Updated last year
- ☆57Updated last year
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆119Updated last month
- Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.☆300Updated last year
- Pytorch implementation of the xLSTM model by Beck et al. (2024)☆179Updated last year
- ☆250Updated last month
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆155Updated 5 months ago
- An implementation of mLSTM and sLSTM in PyTorch.☆28Updated last year
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆112Updated 8 months ago
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆39Updated 10 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆87Updated 10 months ago
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆14Updated last year
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆101Updated last year
- [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"☆104Updated 9 months ago
- Temporal Kolmogorov-Arnold Transformer☆85Updated 11 months ago
- Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral☆20Updated 8 months ago
- TKAN: Temporal Kolmogorov-Arnold Networks☆220Updated 11 months ago
- Time Series Forecasting with xLSTM☆48Updated last year
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆151Updated 2 years ago
- Experiment ASsistance for Your Time-Series Forecasting, EasyTSF☆117Updated 2 weeks ago
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…☆157Updated 9 months ago
- Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting☆135Updated last year
- ☆80Updated 8 months ago
- Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting☆45Updated 3 months ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆43Updated last year
- RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks☆118Updated last year
- PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.☆85Updated last year
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆200Updated last year
- ☆35Updated last year
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆87Updated 9 months ago