Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

Pytorch implementation of the xLSTM model by Beck et al. (2024)

Official JAX implementation of xLSTM including fast and efficient training and inference code. 7B model available at https://huggingface.co/NX-AI/xLSTM-7b.

Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports

Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.

Optimised Extended LSTM for time-series forecasting

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind

This repository offers models and an evaluation framework for short-term load forecasting, with a focus on transfer learning, deep learning, and also explainable models.

xLSTM on MLX and PyTorch

XLSTM for Secuential Recomendation

An implementation of mLSTM from xLSTM in JAX

[PyTorch] 2D variant of "Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?"

U-ViL: A U-shaped Vision-LSTM Framework for Cardiac Image Segmentation

xlstm_transformer

EZAutoMate: Your AI-powered Car Sales Advisor

📊 Forecast time-series data using LSTM models in PyTorch; generate, train, and visualize predictions with key metrics for accurate insights.

FlowerTune LLM on NLP Dataset