Onuigwe Vitus (onuigwevitus)

onuigwevitus

Geek Repo

Company:deeplearning.ai

Location:Nigeria

Home Page:https://www.linkedin.com/in/sironuigwevitus/

Twitter:@SirOnuigweVitus

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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.

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d2l-pytorch

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

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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

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ipconsults.com.ng.github.io

my first testing project

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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.

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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.

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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.

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ML

Machine Learning

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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.

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Templates

All model templates

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Tensorflow-Projects

All the project activities

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acl-2020

ACL 2020 Website

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breast-cancer

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

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CLIP

Contrastive Language-Image Pretraining

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deep_learning

Practically deep learning!

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Grounding_in_Dialogue

ACL 2020 Tutorial by Malihe Alikhani and Matthew Stone

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ML_Course_19-11-20

Global AI Hub Intro to ML Course Nigeria

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News-Headlines-Dataset-For-Sarcasm-Detection

High quality dataset for the task of Sarcasm Detection

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newspaper3_usage_overview

This repository provides usage examples for the Python module Newspaper3k.

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Research-Papers-by-Data-Science-Nigeria

A Collection of Research Papers by Data Science Nigeria

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Runmila-AI-Institute-Tuberculosis-Classification-baseline

Baseline model for the Runmila AI Institute & minoHealth AI Labs Tuberculosis Classification challenge hosted by Zindi

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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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Streamlit-NER-App

Testing the app deployment on Heroku

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Tuberculosis-Classification-via-X-Rays

Tuberculosis X-ray Classification

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Zindi_colab

Download Zindi's compositions datasets directly to google colab

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