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Hi there, I'm Grace šŸ‘‹

haceworld/README.md

I'm a senior researcher, lecturer, machine learning and computer vision engineer

I'm passionate about learning and sharing knowledge.

  • šŸ”­ Iā€™m currently working on deep learning in biomedical imaging
  • šŸŒ± Iā€™m currently an Assistant Professor and Module Leader @ OBU-CDUT
  • šŸ“ŗ I'm a YouTuber and Content Creator
  • šŸ™Žā€ā™€ļø Iā€™m looking to collaborate on deep learning based detection models
  • šŸ’¬ Ask me about machine learning, deep learning, computer vision, computer networking, digital electronics, and Information systems
  • āœ How to reach me: [email protected]; [email protected]
  • 2023 Goals: Contributing more to technological advancement
  • šŸ“ŗ Follow my video classes on Explore Insight
  • šŸ“ŗ Follow my video classes on Digital Electronics
  • šŸ“ŗ Follow my video classes on Information Systems
  • šŸ“ŗ Follow my video classes on ChatGPT
  • šŸ“ŗ Follow my video classes on Image Processing
  • šŸ“ŗ Follow my video classes on Computer Networking

[Anurag's GitHub stats]

Language and Frameworks:,

LaTeX

Octave

Python

Jupyter Notebook

TensorFlow

scikit-learn

Pandas

NumPy

Matplotlib

Keras

Grace Ugochi Nneji, PhD's Projects

audio-identification-and-categorization icon audio-identification-and-categorization

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.

automated-image-caption-generator icon automated-image-caption-generator

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-detecction icon canny-edge-detecction

Canny-Edge-Contrastive-Enhanced-Detection (CECED) implementation on single and multiple images

clahe icon clahe

Contrast Limited Adaptive Histogram Equalization (CLAHE) implementation on single and multiple images

covid-19 icon covid-19

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

covid-ct icon covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

crc-coding-group icon crc-coding-group

This is a group where I share my knowledge with my students based on Machine and deep learning applications

deep-dream icon deep-dream

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.

detecting-fraud-using-neural-network icon detecting-fraud-using-neural-network

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.

esrgan icon esrgan

Enhanced Super-resolution Generative Adversarial Network

fundamental-of-machine-learning icon fundamental-of-machine-learning

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.

fundamentals-of-machine-learning icon fundamentals-of-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..

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