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
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
PyHGF: A neural network library for predictive coding
Subspace methods for MIMO system identification
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
ML Coursework focused on solving Computational Finance and Risk Assessment models
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
Accelerated First Order Parallel Associative Scan
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
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