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
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)
A Comprehensive Survey of Mamba in Deep Learning
Accelerated First Order Parallel Associative Scan
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
LLM inference in Fortran
Subspace methods for MIMO system identification
An official implementation for SSAMBA: Self-Supervised Audio Mamba
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.
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
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".
A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor
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