Name: Grace Ugochi Nneji, PhD
Type: User
Company: Oxford Brookes University and Chengdu University of Technology
Bio: Machine Learning I Computer Vision | Deep Learning | Image Processing
Location: Chengdu, Sichuan, China
Grace Ugochi Nneji, PhD's Projects
In this repository, I will show you on the step by step procedure on how to read and display an image
Audio(sound) classification can be referred to as the process of analyzing audio recordings. This amazing technique has multiple applications in the field of AI and data science such as chatbots, automated voice translators, virtual assistants, music genre identification, and text to speech applications.
Image caption generator is a process of recognizing the context of an image and annotating it with relevant captions using deep learning, and computer vision. It includes the labeling of an image with English keywords with the help of datasets provided during model training.
Canny-Edge-Contrastive-Enhanced-Detection (CECED) implementation on single and multiple images
The objective of this machine learning project is to transform image(s) into its cartoon i.e. to CARTOONIFY the images using machine learning libraries.
Contrast Limited Adaptive Histogram Equalization (CLAHE) implementation on single and multiple images
This code concatenate two CNN networks from scratch
This helps to combine multiple csv extension files into a single csv file.
Finding and drawing contours using OpenCV in Python.
In this repository, I will show you on the step by step procedure on how to convert RGB image to grayscale image
In this repository, I will show you on the step by step procedure on how to convert RGB image to HSV image.
In this repository, I will show you on the step by step procedure on how to convert RGB images to grayscale images.
In this repository, I will show you on the step by step procedure on how to convert RGB images to HSV images.
This repository contains CNN implementations.
Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
This is a group where I share my knowledge with my students based on Machine and deep learning applications
Writing CV with LaTeX
All about Data Science and Data Analysis
DeepDream is an experiment that visualizes the patterns learned by a neural network. Similar to when a child watches clouds and tries to interpret random shapes. DeepDream over-interprets and enhances the patterns it sees in an image.
Neural network algorithm is a powerful tool for detecting fraud. This simple code is put together to help researchers explore more possibilities beyond their imagination.
Extracting edges from multiple images
The model is trained based on face images from different peoples
Enhanced Super-resolution Generative Adversarial Network
Extraction of contours from images
The model is trained based on face images from 8 different peoples
Vehicle classification using deep neural network
Fundamentals-of-Machine-Learning This repository introduces the basics of machine learning algorithms for preprocessing, regression and classification tasks covering the basic theory and common concepts and techniques involved in Machine Learning. This repository is for beginners who are interested in machine learning.
Machine learning is a subset of artificial intelligence (AI) which focuses on the use of data and models to imitate the way that humans learn, gradually improving its accuracy performance..