brightaboh Goto Github PK

aims-ishango

airquality

This project is an analysis of data from RAMP air quality sensors. The USA-EPA standard air quality index were used

brightaboh

Config files for my GitHub profile.

brightaboh.github.io

I am Bright Aboh, a Data Scientist

deep-learning-imagery-processing-

This project involves bulk processing of raw satellite images for downward deep learning modeling. An algorithm is developed to swap cloudy pixels with in one satellite image with clear pixels from a different satellite image for a given location.

dl_delineation_web

In this project, a web application is developed to predict crop types and segment land from satellite images

fraud_detection

Auto Fraud prediction model is developed using machine learning algorithms. The model is deployed as a web application with User Interfaces, allowing for better interaction .

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

google-earth-engine

kul

llms-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

nsir_dl

A project to develop deep learning segmentation and classification models with satellite images. For land segmentation and crop type prediction

oliverangelil.github.io

Personal Website

pdsnd_github

GitHub project (Project 3) repository for PDSND

player-analysis

project3

satellite_imagery_analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

sentinal-5p

solution-disign-document

sustainability-gis

Site for "Spatial Data Science for Sustainable Development" course at the Dept. Built Environment, Aalto University

teambright-aimable

Crop type identification

trial

visualisation