Abe Enoch Aboluwarin 's Projects
Config files for my GitHub profile.
12 Weeks, 24 Lessons, AI for All!
CNN using AlexNet om cifar-10 dataset
amazon forest competition
Association rule mining is a technique to identify underlying relations between different items. Take an example of a Super Market where customers can buy variety of items. Usually, there is a pattern in what the customers buy. For instance, mothers with babies buy baby products such as milk and diapers. Damsels may buy makeup items whereas bachelo
explain how dose the deepspeed work to train chatgpt, especially focus on three steps training(SFT,Reward,RLHF))
Hamoye Capstone Project (TEAM PROPHET)
A final assignment of the course- Machine Learning for Python on Coursera. This notebook gives a good example of using ML framework to realize classification tasks.
Contrastive Language-Image Pretraining
A grounds-up notebook to implement a CNN to classify images across 10 categories
The Hugging Face course
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.
AI-CYBERSECURITY
Federated digital pathology: classification of Acute Myeloid Leukemia (AML) cells with a CNN.
The aim of the project to classify news whether it is real or fake. The model is trained with the help of news data which contains 6335 news, which are classified real or fake. Scrapped data from a news website is used for the prediction.
this contains all the code for my final year project, a 4 wheeled home assistant robot with object detection capabilities and a robotic arm.
This is a full stack web app
This repository contains Jupyter Notebooks of all projects/tasks done during my Internship at Hamoye | One School https://hamoye.com/
NEURAL NETWORKS
Hands-on Exploratory Data Analysis with Python, published by Packt
Tutorials for the Hopsworks Platform
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Compared the performance of Alexnet, K Nearest Neighbor, Spatial Pyramid Matching, Support Vector Machine, and Deep Belief Network for image classification on MNIST dataset.
THIS RPOSITORY CONTAINS THE CODE,I ATTEMPTED TO TRAIN THE CIFAR-10 DATASET,TENSORFLOW HAS A LOT OF VERSION WARS TO SOLVE.
This repository contains the code and dataset used for this project which is an intrusion detection model, useful in the field of cybersecurity, the NSL-KDD dataset was used as seen.