busbuzzard
Schedule inference tool
Analyzes GPS data to infer probabilistic schedules from transit vehicle movements
Inference of probabilistic schedules from empirical data about transit vehicles.
10 stars
2 watching
2 forks
Language: Python
last commit: about 11 years ago
Linked from 1 awesome list
mobilitydata/awesome-transitRelated projects:
| Repository | Description | Stars |
|---|---|---|
 uber/orbit | A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. | 1,883 |
 brian-lau/matlabstan | A Matlab interface to Stan, providing a Bayesian inference framework | 80 |
 abhik/pebl | A Python library and command line application for learning Bayesian network structures from observational data. | 104 |
 pratyushmaini/llm_dataset_inference | Detects whether a given text sequence is part of the training data used to train a large language model. | 23 |
 mattjj/pyhsmm | A Python library providing approximate inference methods for Bayesian Hidden Markov Models and their extensions. | 550 |
 johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
 dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 571 |
 jbrukh/bayesian | A Go library implementing Naive Bayesian classification with optional term frequency-inverse document frequency (TF-IDF) calculations. | 805 |
 maxsklar/bayespy | A Python library for Bayesian inference and multinomial mixture modeling | 108 |
 robinthibaut/skbel | A Python framework for Bayesian inference and regression using Gaussian processes. | 22 |
 camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers | An introduction to Bayesian methods and probabilistic programming for software developers | 26,820 |
 michaelchughes/npbayeshmm | Software toolbox for Bayesian inference on sequential data using Markov chain Monte Carlo methods. | 78 |
 wangtongada/boa | An algorithm for generating interpretable binary classification models using Bayesian rule sets | 34 |
 mcleonard/sampyl | An MCMC sampler library for Bayesian estimation using Python | 330 |
 mjskay/when-ish-is-my-bus | A collection of supplementary materials and R code for analyzing user-centered visualizations of uncertainty in everyday mobile predictive systems | 45 |