[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Accelerated First Order Parallel Associative Scan

Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)

[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

Subspace methods for MIMO system identification

Mamba in Vision: A Comprehensive Survey of Techniques and Applications

PyHGF: A neural network library for predictive coding

LLM inference in Fortran

Foundation models based medical image analysis

Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"

This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data

Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting