adversarial-search-tic-tac-toe-game

As part of the artificial intelligence course at the Ecole des Mines de Saint-étienne, This is a model of the tic-tac-toe game using adversarial search algotithms: Minimax, Alpha-Beta pruning and Iterative deepening.

artificial-intelligence-problem-solving

The goal of this work is to understand how to model problems, to solve and implement the search algorithms

automatic-classification-of-skin-lesions-melanoma-detection

This work uses the database of the ISIC Challenge 2017: Skin Lesion Analysis Towards Melanoma Detection.

cac40-analysis-using-gaussian-random-vectors

Disposing of a year of data from all the 40 stocks of the CAC 40, we try to choose the most accurate portfolio processing a multivariate normal analysis (in French)

coding_problems

Solutions I wrote for various coding problems (GFG, LeetCode, etc)

constraint-satisfaction-problems-nqueens

The problem is solved when each variable has a value that satisfies all the constraints on the variable. Search algorithms include Backtracking and Min-conflicts

dreamerv2

Mastering Atari with Discrete World Models

findrl_ray

finrl

FinRL: Financial Reinforcement Learning. 🔥

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

handful-of-trials-pytorch

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

ivy

The Unified Machine Learning Framework

kernels-for-biological-sequences

Implement machine learning algorithms (SVM, Kernel ridge regression) with kernels for biological sequences (K-spectrum kernel and mismatch kernel).

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

max

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

mbrl-lib

Library for Model Based RL

mlfromscratch

Machine Learning algorithm implementations from scratch.

mnist-fashion-classification

Classification of a sample of 6000 images from the mnist-fashion zalando database using first image processing methods and then a convolutional neural network

mva-lsd_tps

[MVA] Practicals for Large Scale Distributed Optimization course

my-offlinerl

network-programming-sockets

A simple client server implementation in C language (Sockets programming), as long as getting to capters on different Ports in the network and processing the received Data

python

All Algorithms implemented in Python

sunrise

A Reinforcement learning project for the RecVis20 Course, Team WILLOW, ENS ULM.

the-antennas-location-problem

We study the influence of the location of antennas for the covering of a territory using SVR, Kriging Model, Design of Experiments, Sensitivity analysis and global optimization.

tool-wear-classification

In this project we are going to work on the classification method of Logistic Regression. We are going to : 1. Describe a set of images by means of a set region descriptors. 2. Using the computed descriptors, we are going to simulate a classification experiment and calculate some performance metrics.

tp_factoranalysis

with my colleague Younes we are working on Data from an industrial site to conclude about his influence in the environment, our Data is basically measures of concentration of some chemical molecules in different places around the site.

useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision