application-of-convolutional-neural-network-in-chess-evaluation

In a game of chess, each move is made according to astrategy that aims to optimize the situation of the activeplayer. The evaluation of the position of the differentpieces is therefore a central issue that we will be tack-ling in this project. The goal we fixed ourselves is touse an evaluation of the board positions through a con-volutional neural network (CNN). This evaluation aimsto mimic the complex heuristic of the well known chessengineStockfish. We will then use this learned evaluationas the heuristic in aminimaxalgorithm to implement ourown chess AI.

billy-webpage-scrum

billyai

chainyo

GitHub profile

coffee-machine

decouvrez_django

edge_detection

This is a flutter plugin to detect edges in a live camera, take the picture of detected edges object, crop it, and save.

engagement-de-confidentialite

exercice-python

high-dimensional-data-analysis

These projects were carried out as part of the MATH2021-1 High-dimensional data analysis course of the ULiege.

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

invoiceprocessing

jhubar

jhubar.github.io

This my resume code source

lafermeliegeoise

large-scale-data-systems

In order to safely shepherd a rocket to a circular orbit of about 100 km, it is imperative to ensure a good consistency and availability of the computing resources used to guide the rocket. One way to achieve this is to rely on a cluster of computers collaborating to guide the rocket, using distributed algorithms. Our implementation will leverage a modification of the Raft consensus algorithm

lvdpdc

machine-learning

projet1

maison

markdown-documentation-template

master-thesis

ml_synthese_2020

numerical-optimization

Compressive sensing exploit the possibility to represent an image with a sparse representation.

pi

Modeling epidemic using bayesian Bayesian inference and SEIR+ model

privacy-in-household-robots

Privacy-in-household-robots

pur_architecture

semanticdata

sentiment_analysis

signal

tic

Information theory provides a quantitative measure of the information provided by a message or an observation. This notion was introduced by Claude Shannon in 1948 in order to establish the limits of what is possible in terms of data compression and transmission over noisy channels. Since these times, this theory has found many applications in telecommunications, computer science ans statistics. The course is composed of three parts