A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
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Updated
Jun 1, 2024 - Python
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
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
A Comprehensive Survey of Mamba in Deep Learning
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).
An official implementation for SSAMBA: Self-Supervised Audio Mamba
PyHGF: A neural network library for predictive coding
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
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Translating between two sets of notation for Kalman filters
Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"
Variational Joint Filtering
Statecraft - Load, store and remix states for SSMs, Mamba and Stateful models
a helper package for pomp
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
This repository features implementations of Mamba SSM (LLM), leveraging a parallel algorithm specifically optimized for modern hardware, with a strong focus on GPU acceleration.
MCMC inference on Switching Linear Dynamical Systems, using Stan and JAGS
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