PointMamba: A Simple State Space Model for Point Cloud Analysis
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Updated
Jun 13, 2024 - Python
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
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
Accelerated First Order Parallel Associative Scan
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
LLM inference in Fortran
Subspace methods for MIMO system identification
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
PyHGF: A neural network library for predictive coding
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
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