Ali Mohammed Bakhiet's Projects
Advanced Deep Learning with Keras, published by Packt
AI Course
Artificial Intelligence with Python Second Edition, published by Packt
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
This repository will be home to the core projects of the Keras Functonal API part, as well as many other programming notes in the same vein.
This repo contains the code for Behçet's disease.
Implementation of binary genetic algorithm for function optimization.
Youtube tutorial associated content
A demo webapp to convert images and videos into cartoon!
Implementation of Canonical Correlation Analysis Layer for Cross-Modality Retrieval.
Cleaning Data for Effective Data Science, published by Packt
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Documentation for GitHub Copilot
Speedy Carl Zeiss Image (.czi) Divination
Combine Python with machine learning principles to discover hidden patterns in raw data
Toturial coming with "data science roadmap" graphe.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A set of data tools in Python
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
:high_brightness: an open source syntax highlighter written in pure javascript
This repository contains code base for an end to end implementation of a project titled "Face Detection using CNN"
Face Recognition
Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)