PointMamba: A Simple State Space Model for Point Cloud Analysis
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Updated
Apr 25, 2024 - Python
PointMamba: A Simple State Space Model for Point Cloud Analysis
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
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
Accelerated First Order Parallel Associative Scan
A Comprehensive Survey of Mamba in Deep Learning
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
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
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).
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.
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor
Markov-Switching State-Space Models
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