gabeochieng Goto Github PK
Name: GabeOchieng
Type: User
Bio: AIML Deep Learning Practice & Research DevOps
Location: Nairobi, Kenya
Name: GabeOchieng
Type: User
Bio: AIML Deep Learning Practice & Research DevOps
Location: Nairobi, Kenya
Jupyter metapackage for installation, docs and chat
Custom Jupyter Notebook Themes
Core Jupyter functionality
Collection of jupyter notebooks
Slides for JupyterCon 2017 Talk.
An object oriented high-level Python Web Framework that requires no frontend programming
Implementation of Ride-Hailing Framework proposed in "TOWARD A SECURE AND DECENTRALIZED BLOCKCHAIN-BASED RIDE-HAILING PLATFORM FOR AUTONOMOUS VEHICLES"
Code for the Kaggle Ensembling Guide Article on MLWave
kaggle titanic solution
This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube
Graphic tool to setup Kanux: email, keyboard, audio, display, wifi...
A Python framework for creating reproducible, maintainable and modular data science code.
Competition results for Keeping it Fresh https://www.drivendata.org/competitions/5/
Covid 19 DashBoard
Interactive map of Kenyan counties COVID-19 cases and other demograpic data
This study would be of importance specifically to Ministry of Health and Kenya Medical Research Institute (KEMRI). The finding will equip the top level managers such as Cabinet Secretary, Permanent Secretary and Director General KEMRI with the tool for analysis of COVID-19 case in predicting future cases. It would sensitize the capability of Machine Learning in the medical profession in order to make informed decision and ensure smooth handling of pandemics. It would also be of interest to both the national and county governments as a strategic too that plays a role in the determination of policies to be adapted and financing to be allocated to a pandemic. It will also help improve implementation of polices that can be important in the saving of lives the event of a pandemic and way to mitigate high number of infections.
Deep Learning for humans
Reference implementations of popular deep learning models.
Autoencoders in Keras
A simple Keras deep learning rest api with node js and python
Keras Playground - Backend (Express on node.js)
A Node.JS Native add-ons to run Keras trained model.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
"Real-Time Style Transfer" with Keras
Add-on library for Keras to train on encrypted images for humans
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.