Name: Antonio de Castro
Type: User
Company: @farfetch-data @farfetch-internal @ISPGayaIA
Bio: PhD in Artificial Intelligence | Intelligent Systems Researcher | Making Artificial Intelligence Useful | Conquering the Space!
Location: Porto, Portugal
Blog: http://ajcastro.com.pt/home/
Antonio de Castro's Projects
C# implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
Exercises for the book Artificial Intelligence: A Modern Approach
Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Config files for my GitHub profile.
The artificial bee colony (ABC) optimisation algorithm for solving the flight schedule problem
A new methodology called Case-based Reasoning for Dynamic Distributed Environments (CBR-DDE) was introduced, based on the Case-based Reasoning (CBR) methodology. The goal was to obtain solutions (the outcome of the automatic negotiation) that decrease the average response time of the system to a new disruption problem, increasing its degree of trustworthiness, while maintaining the level of quality of the solutions presented.
The goal of this repository is to show how to make a CRUD using Entity Framework
Prediction of the aircraft movement times, namely, taxi-in, taxi-out, airtime and block time including weather information.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Contains the code and guides for the course Introduction to Intelligent and Autonomous Systems
Project for Learning to Rank using RankNet, LambdaRank and LambdaMART
Mastering Reinforcement Learning with Python, published by Packt
Python Agent DEvelopment framework
In this project, we combined quantum computing with reinforcement learning and studied its application to a board game to assess the benefits that it can introduce, namely its impact on the learning efficiency of an agent.
This project aims to create an implementation of the tail assignment problem using a quantum computing approach.
Contains Python scripts for Exploratory Data Analysis, Algorithms Evaluation, and so on.
Turtle Challenge coding assessment for Letsgetchecked.ie
Turtle Challenge
Just Announced - "Learn Spring Security OAuth":