Giter Club home page Giter Club logo

Hi there, I'm Kofi

I'm a Computer Vision, Data Scientist, Machine Learning Engineer and a Researcher!!

I have a passion for learning and sharing my knowledge with others in a way that's as public as possible.

  • šŸ”­ Iā€™m currently working on the application of machine learning in Satellite Imaging
  • šŸŒ± Iā€™m currently learning Reinforcement learning
  • šŸ‘Æ Iā€™m looking to collaborate on Machine learning Flood detection models
  • šŸ’¬ Ask me about Data Science, Computer Vision, Machine Learning
  • šŸ“« How to reach me: [email protected]
  • šŸ„… 2022 Goals: Contribute more to Machine learning / Data science Open Source projects.

Jackson's GitHub stats

Languages and Tools:

Visual Studio Code

Terminal

Terminal

Terminal

Terminal

SQL

MySQL

MongoDB

Git

GitHub

Jehoiada Jackson's Projects

100-pandas-puzzles icon 100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

build icon build

Build-related tools for TensorFlow

cactus icon cactus

An image classification problem identifying the presence or absence of cactus in a 32 by 32 pixel image. The 17,500-image database was split 60% train, 20% validation, 20% test. Parallel processing was implemented for image processing and model building. Feature engineering included the creation edge features using the difference between adjacent pixels. Support vector machine, random forest, Xgboost, and convolutional neural network (CNN) models were fit. The CNN fit with TensorFlow and Keras outperformed all other models with 97.5% classification accuracy. By using a weighted average of the Xgboost, Random Forest, and CNN models a classification accuracy of 97.7% was achieved. This was a team project. I was responsible for the image processing, feature engineering, Random Forest, Xgboost, and weighted average models.

cat- icon cat-

Deep Neural Network for Image Classification: Application

crossvit icon crossvit

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

datasets icon datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

dcpdn icon dcpdn

Densely Connected Pyramid Dehazing Network (CVPR'2018)

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

do-conv icon do-conv

Depthwise Over-parameterized Convolutional Layer

ffa-net icon ffa-net

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

fiftyone icon fiftyone

The open-source tool for building high-quality datasets and computer vision models

floodnet icon floodnet

Official implementation of https://arxiv.org/abs/2105.08655 paper

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.