Stanley Otieno's Projects
Code and associated files for the AI Programming with Python Nanodegree Program
Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv8,v7,v6,v5,R,X in under 20 lines of code.
A collection of AWS related source code
Aim of this project is to use Computer Vision techniques of Deep Learning to correctly identify & map Brain Tumor for assistance in Robotic Surgery.
Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)
Making large AI models cheaper, faster and more accessible
Connecting vs code to github
An Analysis of customer churn rates for a telecommunication company
Custom large language model using LLAMA 2
Denoising Diffusion Probabilistic Models
Codes for my paper "DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles"
Data on energy by Our World in Data
Free and Open Source Enterprise Resource Planning (ERP)
Contains images and features derived from using a Gabor feature extractor
Healthnomics is a platform that allows patients to book doctor appointments/consultations without any difficulty.
Image Classification using SVM
classification of images using support vector machine (python)
š¦ Explore multimedia datasets at scale
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Machine Learning algorithms implemented in Python from scratch
In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from these feature vectors.
Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.