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

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

PyHGF: A neural network library for predictive coding

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

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

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

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

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

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

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

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

Subspace methods for MIMO system identification

ML Coursework focused on solving Computational Finance and Risk Assessment models

Accelerated First Order Parallel Associative Scan

Markov-Switching State-Space Models

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

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

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

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).