Skip to content
View brandondionisio's full-sized avatar
Block or Report

Block or report brandondionisio

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories

  1. Behavior-Tree-for-Vacuum-Cleaning-Robot Behavior-Tree-for-Vacuum-Cleaning-Robot Public

    Implementation for a behavior tree dictating the functionality of a vacuum cleaning robot (simple reflex agent).

    Python

  2. Informed-Search-Pancake-Sorting Informed-Search-Pancake-Sorting Public

    Implementations of a A* search algorithm and an Uninformed Cost Search (UCS) algorithm to solve the Pancake Sorting Problem -- that is, order a disordered stack of different sized pancakes by flipp…

    Python

  3. Genetic-Algorithm-Knapsack-Problem Genetic-Algorithm-Knapsack-Problem Public

    Implementation of a genetic algorithm to solve the Knapsack Problem -- that is, find the optimal unique boxes to put in a knapsack to obtain the greatest value without going over a maximum weight o…

    Python

  4. Constraint-Satisfaction-Sudoku-Solver Constraint-Satisfaction-Sudoku-Solver Public

    Implementation of a Sudoku puzzle solver using a Constraint Satisfaction Problems approach that can calculate the easy, evil, and custom puzzles.

    Python

  5. Naive-Bayesian-Classifier-Airplanes-or-Birds Naive-Bayesian-Classifier-Airplanes-or-Birds Public

    Implementation of a Naïve Bayesian classifier that calculates and reports the probability that 10 unidentified objects belongs to one of two classes: airplanes and birds.

    Python

  6. Artificial-Neural-Network-Iris-Dataset Artificial-Neural-Network-Iris-Dataset Public

    Implementation of a multi-layered neural network that classifies iris flowers based on sepal length, sepal width, petal length, and petal width. The ANN is trained using the Iris dataset and the pr…

    Python