Name: Paul Melki
Type: User
Company: @ExxactRobotics
Bio: PhD CIFRE in Deep Learning, Statistics & Computer Vision @ IMS (Université de Bordeaux, CNRS) & EXXACT Robotics | Formerly @ Toulouse School of Economics
Location: Bordeaux + Épernay + Lyon (France)
Blog: paulmelki.github.io
Paul Melki's Projects
This is a project that we implemented during the CSIS251 - Introduction to Artificial Intelligence course
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
This project aims at creating a search engine based on BERT language model.
This is my final project for my CSIS231 - Java Technologies course. This system is a basic Java program that allows the user to create and manage classrooms, add students, add tests, grade the students on different tests, and check some statistics for each test and class. CURRENTLY BUILDING.
Comparing 95% confidence intervals for a Poisson mean
COVID-19 Confirmed cases map over time
Draft of the fastai book
Implementation of the Frank-Wolfe optimization algorithm in Python with an application for solving the LASSO problem.
Small simulation of the Improved Hamming Code algorithm, in Java.
This repository contains the code of the INDIAN algorithm to train deep neural networks
An Introduction to Computer Vision using OpenCV with Python Bindings
A content-first, sliding sidebar theme for Jekyll.
Project in Mathematical Statistics I course focusing on the issue of missing data and methods of dealing with them: Complete Case Analysis, Stochastic Regression Imputation and EM Algorithm Imputation.
My personal blog.
The Jekyll Butler. A no frills responsive Jekyll blog theme.
Implementation of the projection onto the probability simplex
Code used in the course Statistical Software for Data Scientists
My website on github at http://svmiller.com
This repository provides basic tutorials written in Jupyter Notebooks, introducing the TensorFlow Keras framework.
An archive of the world's wisdom, beautifully typed and ready for reading.