Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
☆80Jan 29, 2018Updated 8 years ago
Alternatives and similar repositories for NPBayesHMM
Users that are interested in NPBayesHMM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Sep 19, 2017Updated 8 years ago
- An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix☆32Nov 27, 2018Updated 7 years ago
- Fast Marginalized implementation of Spatio-Temporal Block Sparse Bayesian Learning Algorithm.☆12Apr 13, 2015Updated 11 years ago
- ☆575Jan 25, 2025Updated last year
- Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design☆10Sep 12, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pitman-Yor processes in python☆26Apr 18, 2014Updated 11 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆33Mar 27, 2024Updated 2 years ago
- Action recognition using skeleton information based on HMM model☆36Feb 4, 2014Updated 12 years ago
- lightspeed matlab toolbox☆134Jun 7, 2021Updated 4 years ago
- A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral image…☆10Nov 20, 2020Updated 5 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 10 years ago
- Unsupervised word segmentation and clustering of speech☆13Feb 17, 2017Updated 9 years ago
- ☆20Apr 3, 2019Updated 7 years ago
- Matlab toolbox for Bayesian functional data analysis☆19Aug 6, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Source code for the paper "Multi-dimensional Sparse Super-resolution"☆17Jul 2, 2018Updated 7 years ago
- A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning☆37Dec 19, 2019Updated 6 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Apr 5, 2022Updated 4 years ago
- ☆14Feb 12, 2016Updated 10 years ago
- Matlab Implementation of "The Hierarchical Hidden Markov Model: Analysis and Applications"☆22Aug 31, 2011Updated 14 years ago
- Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization☆10Jan 18, 2017Updated 9 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Feb 28, 2020Updated 6 years ago
- Beta process sparse NMF☆22Dec 2, 2014Updated 11 years ago
- Compressed Sensing and Kalman Filter Based Channel Tracking for mmWave Massive MIMO Systems☆15Apr 24, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆25Jul 20, 2023Updated 2 years ago
- Dynamic Bayesian Network☆33May 28, 2012Updated 13 years ago
- Bayesian hidden Markov models toolkit☆47Aug 25, 2020Updated 5 years ago
- We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The …☆18Aug 15, 2016Updated 9 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Oct 14, 2014Updated 11 years ago
- [TKDE 2024] Robust Knowledge Adaptation for Dynamic Graph Neural Networks☆11Apr 11, 2024Updated 2 years ago
- ☆20Feb 28, 2025Updated last year
- non-parametric inference for convolutional filters in poisson glms☆13Sep 20, 2021Updated 4 years ago
- Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package☆14Jul 14, 2015Updated 10 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Feb 8, 2023Updated 3 years ago
- A fork of Jurgen Vangael's Infinite HMM matlab code☆12Mar 14, 2014Updated 12 years ago
- Neural model state and parameter estimation from data (Karoly et al 2018)☆10Mar 20, 2020Updated 6 years ago
- Matlab Toolbox for Bayesian Estimation☆47Apr 25, 2016Updated 9 years ago
- ☆99Jun 28, 2018Updated 7 years ago
- Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering☆74Apr 10, 2015Updated 11 years ago
- A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637☆20Nov 20, 2020Updated 5 years ago