Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
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Updated
Jun 22, 2024 - Python
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010).
[arXiv 2024] State Space Models on Temporal Graphs: A First-Principles Study
Statecraft - Load, store and remix states for SSMs, Mamba and Stateful models
PyHGF: A neural network library for predictive coding
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
PointMamba: A Simple State Space Model for Point Cloud Analysis
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
An official implementation for SSAMBA: Self-Supervised Audio Mamba
LLM inference in Fortran
We use EM for a mixture of state space models to perform unsupervised clustering of short trajectories.
Accelerated First Order Parallel Associative Scan
Arbitrage-free Dynamic Generalized Nelson-Siegel model of interest rates following Christensen, Diebold and Rudebusch; and its estimation using the Kalman filter / maximum likelihood.
Spectral State-Space Models
Translating between two sets of notation for Kalman filters
Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"
Variational Joint Filtering
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