PointMamba: A Simple State Space Model for Point Cloud Analysis
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Updated
May 30, 2024 - Python
PointMamba: A Simple State Space Model for Point Cloud Analysis
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
PyHGF: A neural network library for predictive coding
Subspace methods for MIMO system identification
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
ML Coursework focused on solving Computational Finance and Risk Assessment models
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
Markov-Switching State-Space Models
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
Accelerated First Order Parallel Associative Scan
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
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.
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor
Newton-based maximum likelihood estimation in nonlinear state space models
theleo.zone/thermal-model source code (formerly thermalmodel.com)
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