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followers: 1.0 following: 7.0 repos: 55.0 gists: 0.0

Name: Stanley Otieno

Type: User

Company: Upwork

Bio: An Information and Communication Technology (ICT) graduate with a robust foundation in Database Management, Machine Learning, and Business Intelligence

Location: Nairobi, Kenya

  • šŸ‘‹ Hi, Iā€™m @Stanley17932
  • šŸ‘€ Iā€™m interested in learning about Machine Learning and Deep Learning Algorithms to develop solutions and projects that may impact the world
  • šŸŒ± Iā€™m currently learning about image processing and computer vision techniques, machine learning models and python for data analysis
  • šŸ’žļø Iā€™m looking to collaborate on projects that I am passionate about including Deep Learning Models & Data Analysis
  • šŸ“« How to reach me LinkedIn @ https://www.linkedin.com/in/stanley-otieno-838707142/

Stanley Otieno's Projects

aipnd icon aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

as-one icon as-one

Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv8,v7,v6,v5,R,X in under 20 lines of code.

aws_hub icon aws_hub

A collection of AWS related source code

ciou icon ciou

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

directmhp icon directmhp

Codes for my paper "DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles"

erpnext icon erpnext

Free and Open Source Enterprise Resource Planning (ERP)

gaborfeatures icon gaborfeatures

Contains images and features derived from using a Gabor feature extractor

healthnomics-practo_clone icon healthnomics-practo_clone

Healthnomics is a platform that allows patients to book doctor appointments/consultations without any difficulty.

kangas icon kangas

šŸ¦˜ Explore multimedia datasets at scale

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

neural-image-captioning icon neural-image-captioning

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.

notebooks icon notebooks

Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.

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