[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
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Updated
Oct 11, 2024 - Python
[NeurIPS 2024] 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)
[NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Accelerated First Order Parallel Associative Scan
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
Foundation models based medical image analysis
PyHGF: A neural network library for predictive coding
Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
[PRCV-2024] State Space Model based Frame-Event Tracking
Event stream based visual object tracking using Mamba/State Space Model
Official repository of ”Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning"
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
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