Stars
CORAL and CORN implementations for ordinal regression with deep neural networks.
Estimation of Gaussian Process - Latent Class Choice Models (GP-LCCM) using the Expectation Maximization (EM) algorithm
Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm
PyDCML is a Python library for fast implementation and scalable inference of Bayesian Discrete Choice Models that makes it easy to leverage flexible state-of-the-art modelling techniques from Machi…
Template LaTeX para Tese Doutoral / PhD Thesis no Instituto Superior Técnico (IST)
geoBoundaries : A Political Administrative Boundaries Dataset (www.geoboundaries.org)
A Python package for GPU-accelerated estimation of mixed logit models.
Techniques for deep learning with satellite & aerial imagery
Generator of Rad Names from Decent Paper Acronyms
🌍 The open source route planner api with plenty of features.
Supporting materials for the Transport Demand Modeling course, lectured by Prof. Filipe Moura.
Nvidia Semantic Segmentation monorepo
Presentation on Bicycle Network Analysis scoring of cities for the Cycling Potental hackathon
Biogeme is an open source freeware designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models.
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Models and examples built with TensorFlow