rperera12
Aerospace Engineering Ph.D Student at Auburn University & SMART Scholar Research Fellow for DoD - Naval Air
Pinned Repositories
ACCURATE-GNN-Animations
Adaptive-mesh-based-Multiscale-Graph-Neural-Network
AKARI-LightUp-GameSolver-with-DeepNeuralNetworks-and-HillClimb-or-SimulatedAnnealing
The purpose of this project was to apply techniques of supervised and unsupervised artificial Intelligence (AI) to solve a board game (AKARI or Light-Up) that has never been attempted before using deep learning techniques. We chose to focus on the Light Up puzzle, and solved it using hill climbing, simulated annealing, and a deep neural network.
anisotropicfracture
CASCADE-Crack-ASsesment-and-Configuration-Analysis-with-Deep-learning-Engineering
CASCADE: Crack ASsesment and Configuration Analysis with Deep-learning Engineering
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
FEniCS
FunFaceApp
Split-Images-into-multiple-channels-by-K-Means
By K-Means Clustering using OpenCV-Python an image can be broken up or split into multiple channels (user defined), where each channel represents a single color group extracted from the image. The main purpose of this repository is to create a mask of 13 channels from already segmented images. However, it can be used for other applications such as simple color extraction.
YOLOv3-quadrangle
YOLOv3 detector with quadrangle in PyTorch
rperera12's Repositories
rperera12/Adaptive-mesh-based-Multiscale-Graph-Neural-Network
rperera12/ACCURATE-GNN-Animations
rperera12/AKARI-LightUp-GameSolver-with-DeepNeuralNetworks-and-HillClimb-or-SimulatedAnnealing
The purpose of this project was to apply techniques of supervised and unsupervised artificial Intelligence (AI) to solve a board game (AKARI or Light-Up) that has never been attempted before using deep learning techniques. We chose to focus on the Light Up puzzle, and solved it using hill climbing, simulated annealing, and a deep neural network.
rperera12/Split-Images-into-multiple-channels-by-K-Means
By K-Means Clustering using OpenCV-Python an image can be broken up or split into multiple channels (user defined), where each channel represents a single color group extracted from the image. The main purpose of this repository is to create a mask of 13 channels from already segmented images. However, it can be used for other applications such as simple color extraction.
rperera12/anisotropicfracture
rperera12/CASCADE-Crack-ASsesment-and-Configuration-Analysis-with-Deep-learning-Engineering
CASCADE: Crack ASsesment and Configuration Analysis with Deep-learning Engineering
rperera12/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
rperera12/FEniCS
rperera12/FunFaceApp
rperera12/YOLOv3-quadrangle
YOLOv3 detector with quadrangle in PyTorch