artificial intelligence

Package for generating and inverse-designing 2D lattice materials. Represents lattices as heterogeneous graphs and utilizes message passing, automatic differentiation and surrogate gradients for the inverse design.

Instance Hardness analysis in Machine Learning

Research, code, algorithms and all related to artificial intelligence

Un script avancé d’audit de sécurité et de pentesting alliant furtivité, détection adaptative, intelligence de vulnérabilités et analyses OS pour une évaluation réseau exhaustive. Conçu pour les professionnels, il allie automatisation et précision pour répondre aux environnements les plus complexes.

Wally is a GitLab assistant powered by ChatGPT, an AI language model developed by OpenAI. With Wally, you can interact with your GitLab project using natural language commands and receive helpful suggestions and feedback from the AI.

The aim of N-Queens Problem is to place N queens on an N x N chessboard, in a way so that no queen is in conflict with the others.

This Python code employs the Depth-First Search (DFS) algorithm to find a path from "Arad" to "Bucharest" in the Romania map. It uses a priority queue, backtracking, and a graph representation. The DFS path is printed at the end. Skills demonstrated include graph traversal, priority queue usage, and DFS algorithm implementation.

The code uses backtracking to solve the Constraint Satisfaction Problem (CSP) of map coloring. It checks if assigning colors to regions follows the constraint that no adjacent regions have the same color. The skills involved include algorithm design for backtracking, recursion, and solving CSP problems. The implementation uses Python.

Implementation of UCS on Romania to find shortest distance from Arad to Bucharest based on best-first search algorithm. It uses a dictionary that stores current city mapped to (parent city, current best distance), and frontier is a priority queue to process nodes containing (node id, current city, priority value).

Neural Network for MicroPython

Your very own Assistant. Because you deserve it.

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

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

Interrogare documenti in locale sfruttando l'AI tramite il servizio ottimizzato di chatPDF

This AI-powered application assists users in mastering new content by providing personalized guidance based on their learning objectives. Users input their areas of focus, and the application offers tailored support to help them achieve mastery.

LLAMI (Lion Launch Analytics Metrics Insights) is a tool for automatic collection, processing, and analysis of rocket launch data. This project provides accurate data and detailed analysis of launches for availability and use by the general public, space enthusiasts, and engineering students. This enables the creation of custom statistics, 3D models, and other educational and research projects.

Note: Our team is continuously improving and expanding the functionalities of LLAMI to offer even more tools and value to our sexy users.