Onuigwe Vitus's repositories
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.
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
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
ipconsults.com.ng.github.io
my first testing project
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
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
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.
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.
Tensorflow-Projects
All the project activities
acl-2020
ACL 2020 Website
breast-cancer
This is a simple guide to explore and predict if a patient have is benign or malignant cell.
CLIP
Contrastive Language-Image Pretraining
deep_learning
Practically deep learning!
Grounding_in_Dialogue
ACL 2020 Tutorial by Malihe Alikhani and Matthew Stone
ML_Course_19-11-20
Global AI Hub Intro to ML Course Nigeria
News-Headlines-Dataset-For-Sarcasm-Detection
High quality dataset for the task of Sarcasm Detection
newspaper3_usage_overview
This repository provides usage examples for the Python module Newspaper3k.
Research-Papers-by-Data-Science-Nigeria
A Collection of Research Papers by Data Science Nigeria
Runmila-AI-Institute-Tuberculosis-Classification-baseline
Baseline model for the Runmila AI Institute & minoHealth AI Labs Tuberculosis Classification challenge hosted by Zindi
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.
Streamlit-NER-App
Testing the app deployment on Heroku
Tuberculosis-Classification-via-X-Rays
Tuberculosis X-ray Classification
Zindi_colab
Download Zindi's compositions datasets directly to google colab