machine learning

Armadillo: fast C++ library for linear algebra (matrix maths) & scientific computing - https://arma.sourceforge.net

Instance Hardness analysis in Machine Learning

Code de mon blog technique, accessible à l'adresse : https://say-it-with-data-18ca51.gitlab.io/

Sashimi - study the organisation and evolution of corpora

Welcome to the "AI_Course_Template" - the basic repository template for students enrolled in the Artificial Intelligence course in the Department of Computer Science. This repository is designed to provide a standardized structure and set of guidelines for student projects, facilitating organized development, easy navigation, and consistent documentation.

Key Features:

Structured directory: Includes predefined folders for data (both raw and processed), source code, tests, and documentation, ensuring a clean and organized project workspace.

Comprehensive README Template: A guide to help students effectively document their project overview, goals, installation process, data descriptions, usage instructions, and contribution guidelines.

Resource Hub: Serves as a central location for essential resources, reference materials, and project-specific instructions.

Collaboration Ready: Configured to support collaborative projects, encouraging students to work together efficiently and share their progress.

Purpose:

This template is designed to streamline the project setup process, allowing students to focus more on the innovative aspects of AI and machine learning, rather than the initial setup and organization. By following this template, students will learn the importance of project organization, clear documentation, and consistent coding practices that are essential for any aspiring AI professional.

Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL

Resources for interns and new team members at Tangible AI

My personal webpage

Beginner projects that help and motivate me to keep learning.

Pulmo is a web-based application that provides an easy-to-use interface for users to input their medical history and other relevant data to get a prediction of their risk of developing lung cancer. The project has also highlighted the importance of data preprocessing and feature selection in improving the performance of machine learning algorithms. Exploratory data analysis was also useful in identifying the most relevant features for predicting lung cancer.

Mainly for AI and Quantum development along with other IT related product and services

programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.

A library of blog posts and tutorials. Part of the End-to-End Machine Learning School at e2eml.school/courses

API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Brand Recognition API provided by API4AI.

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

ML for exploring and analyzing telemetry data from the SatNOGS network and beyond 🚀