Pinned Repositories
Data-Augmentation-and-Segmentation-with-GANs-for-Medical-Images
Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.
Data-Science-in-Stratified-Healthcare-and-Precision-Medicine
Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPG
Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.
Facial-Keypoint-Detection-with-Pytorch
Image-Captioning-MS-COCO-dataset
Medical-MNIST-Classification
Melanoma-Detection
Applying Mask R-CNN to the segmentation of skin lesions such as Melanoma (skin cancer), seborrheic keratosis and nevus. The model receives an input image and then feed it through the Mask R-CNN network to obtain the mask prediction. The predicted mask is only 15 × 15 pixels so is applied nearest neighbor interpolation to resize it back to the original image dimensions. The resized mask can then be overlaid on the original input image and then be applied the input image of a model that classifies among the different classes of skin lesions, helping improve the accuracy. Finally different models are created to use ensemble methods in order to develop a super model to make the final classification decision using every individual model previously created.
Model-Predictive-Control
Implementation of Model Predictive Control to drive a car in a virtual environment with 100 millisecond latency.
Modelling-Time-Series-EHR
Use of use deep learning techniques to provide medical professionals an analytic framework to predict patient mortality at any time of interest. Such a solution provides essential feedback to clinicians when trying to assess the impact of treatment decisions or raise early warning signs to flag at risk patients in a busy hospital care setting.
Semantic-Segmentation-for-Cardiac-MRI
In medical imagery analysis it is often important to separate the pixels corresponding to different types of tissue, blood or abnormal cells so that we can isolate a particular organ. Semantic segmentation is the task of placing each pixel into a specific class. In a sense it's a classification problem where the system classifies on a pixel basis rather than an entire image.
apolanco3225's Repositories
apolanco3225/Melanoma-Detection
Applying Mask R-CNN to the segmentation of skin lesions such as Melanoma (skin cancer), seborrheic keratosis and nevus. The model receives an input image and then feed it through the Mask R-CNN network to obtain the mask prediction. The predicted mask is only 15 × 15 pixels so is applied nearest neighbor interpolation to resize it back to the original image dimensions. The resized mask can then be overlaid on the original input image and then be applied the input image of a model that classifies among the different classes of skin lesions, helping improve the accuracy. Finally different models are created to use ensemble methods in order to develop a super model to make the final classification decision using every individual model previously created.
apolanco3225/House-Price-Regression-Combining-Structured-Non-Structured-Data
apolanco3225/Real-State-ChatBot
apolanco3225/A-Dynamic-Risk-Assessment-System
apolanco3225/AI-Photo-Editing-with-Inpainting
apolanco3225/AlgorithmicTradingBotUsingRL
apolanco3225/apolanco3225.github.io
My GitHub Page
apolanco3225/Car-Detection-Counting
apolanco3225/CI-CD-IncomePrediction
apolanco3225/codespace-devops
This is a python for DevOps Codespaces Repo
apolanco3225/CppND-Route-Planning-Project
apolanco3225/Data-Engineering-for-Data-Scientists
apolanco3225/Data-Engineering-with-Microsoft-Azure
DEND Udacity
apolanco3225/Deploy-and-monitor-a-machine-learning-workflow-for-Image-Classification
apolanco3225/eks-fargate-tutorial
A tutorial on using EKS with fargate on the AWS Cloud
apolanco3225/Flowers-Classifier-MLOPs
apolanco3225/Fyyur-Artist-Booking-Site-Udacity
Project Fyyur Artist Booking Site
apolanco3225/Graph-Machine-Learning
Code for ML applied in Graph data
apolanco3225/Investment-Management-with-Python-and-Machine-Learning
Investment Management with Python and Machine Learning
apolanco3225/Movie-Revenue-Regression
apolanco3225/MovieRecommendation
apolanco3225/MovieRevenuePrediction
apolanco3225/OpenAI-ChatBot-Food-Scrap-drop-off-Sites
apolanco3225/Predict-Bike-Sharing-Demand-with-AutoGluon-Template-
apolanco3225/python-template-noah
Python Template for GitHub Codespaces
apolanco3225/Recommender-System-Using-Graphml
apolanco3225/Sentiment-Analysis-Financial-Data
apolanco3225/TFXTutorials
apolanco3225/Time-Series-Projects
apolanco3225/Traffic-Forecasting-using-GraphML