The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object dete…

RAM: A Region-Aware Deep Model for Vehicle Re-Identification

A multi-camera vehicle detection, tracking and re-identification system

A Large-Scale Dataset for Vehicle Re-Identification in the Wild

ReID in Real Haze: Learning Robust Vehicle Re-identification in Real Hazy Scenes using Semi-supervised Learning --ECCV2022

Vehicle Re-identification

🚗 the collection of vehicle re-ID papers, datasets. 🚗

UFPR-ALPR: a dataset for license plate detection and recognition that includes 4,500 fully annotated images acquired in real-world scenarios where both the vehicle and the camera (inside another ve…

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

Benchmark tests supporting the openalpr library

A simpler way to process Vehicle Color Identification for Intelligent Traffic Systems (ITS)

Mainly for vehicle color, orientation, model, and vehicle identification

Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. Vidal

Lista de eventos tech que acontecem no Brasil

Code and Presentations regarding the class IND2076 - Machine Learning Under a Modern Optimization Lens

Code for "Explainable Data-Driven Optimization" (ICML 2023)

Self-made (not perfect) implementation of Optimal Classification Trees by Bertsimas and Dunn (Mach Learn (2017) 106:1039–1082)

Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver

C++ implementation of Prim's algorithm for growing a Minimum Spanning Tree

This is a Voting Machine VHDL code to vote and display the number of votes acquired by three different parties.

Minimum spanning tree - Dijkstra and Prim algorithms implementation with array in C++

Minimum spanning tree - Kruskal algorithm with Disjoint Set C++

A route-based modeling for the Vehicle Routing Problem with Stochastic Service Requests

Solving a stochastic vehicle routing problem with Reinforcement Learning

A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To demonstrate it I apply it to the game of Quoridor.

A library that scrapes Linkedin for user data