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Hi Researcher! šŸ‘‹

My name is Onuigwe Vitus, and I am a Mentor at deeplearning.ai, guiding AI learners at Coursera to navigate difficulties in their learning specialization. As a developing Researcher in Deep Learning, with interest in Convolutional Neural Network, and Natural Language Processing, I want to see more of its implementation in Medicine and Healthcares, evolutionary the world, improve lifestyes and standard of living. I have worked on medical image classifications, medical diagnosis, prognosis and treatment. I write blogs to guide, enlighten and educate new babies, intermediate and even advance learners to break into AI, understand some new concepts and deep learning intuition. I was privilege to serve as a Mentor at Association for Computational Linguistics, ACL2020 Conference, and work with DataKind as Project Reviewer for Data.org $10M Inclusive Growth Challenge. As a member of AI Saturdays, Data Science Nigeria, Artificial Intelligence Communities, and Pie & AI Abuja Lead, I have continue to bridge the AI gap on Data Literacy, Policy and Healthcare. I'm Open to collaboration, AI research and opportunities!

  • šŸ”­ Iā€™m currently working on Medical Diagnosis of Chest conditions, its Prognosis and Treatment.
  • šŸŒ± Iā€™m currently learning Natural Language Processing :)
  • šŸ‘Æ Iā€™m looking to collaborate on Healthcare related Research and Projects.
  • šŸ¤” Iā€™m seeking for PhD Sponsorship.
  • šŸ’¬ Ask me about pathway to Dive into Deep Learning :)
  • šŸ“« How to reach me: [email protected]
  • šŸ˜„ Pronouns: M :=Male
  • āš” Fun fact: Programming and learning new AI concepts.

Let's Connect !

Onuigwe Vitus's Projects

books-library icon books-library

Download any book of your choice from data science, artificial intelligence, machine learning, deep learning and framework, also not excluding psychology, fiction and science and technology from this site.

breast-cancer icon breast-cancer

This is a simple guide to explore and predict if a patient have is benign or malignant cell.

clip icon clip

Contrastive Language-Image Pretraining

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

dataanalysis icon dataanalysis

This repo contains my first assignment in data analysis with python and machine learning projects. A guide that can help you to understand data pre-processing to buliding your first model

medical-diagnosis icon medical-diagnosis

This medical diagnosis contains my personal works on image (disease) multi-class classification, image segmentation and evaluation on chest x-ray radiograph and brain MRI.

medical-prognosis icon medical-prognosis

Medical Prognosis with AI help medical professionals to better manage the future outcome of their patients. In this repo, contain my projects assignments on prognosis of retinopathy using linear regression for binary classification. Also build a model to assess the survival ratio of patients. You will equally see how decision tree was used for disease prediction.

medical-treatment icon medical-treatment

In medicine, for an effective medical treatment, you need to understand the patient diagnostic results, which guilds you for efficient prognosis. In this series, you will understand the essential tools to consider when developing an AI model for medical treatment. This repo contains my assignments during the cause of training. I hope this will help you in your journey in AI application for Medicine. Other suggestions are welcome.

ml icon ml

Machine Learning

myprojects icon myprojects

This is my very first projects on convolutional neural network, using both OpenCV and Tensorflow/keras to detect face recognition, image counting and to predict COVID-19 X-ray images respectively.

product-catalog-size-recommendation-framework icon product-catalog-size-recommendation-framework

Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.

rating-prediction icon rating-prediction

Prediction of rating of items from Amazon product review dataset using latent factor model

sarcasm-detection-using-nn icon sarcasm-detection-using-nn

This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.

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