Akinhwan's Projects
Curated collection of useful Javascript snippets that you can understand in 30 seconds or less.
6 letter wordle React.js
Repository for submission of AI/ML challenge
www.akinhwan.com My personal site
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Javascript Animation Engine
🦄 A curated list of javascript fundamentals and algorithms
An awesome list of high-quality open datasets in public domains (on-going).
A collection of awesome things regarding React ecosystem.
Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced “Q and A Bot”), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your “Questions and Answers”, so users can just ask their questions and get quick and relevant answers.
Machine Learning University: Accelerated Natural Language Processing Class
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
react.js arcade game
a web based visualization library for displaying graphs, networks, and timelines
Dual LSTM Encoder for Dialog Response Generation
Centrally managed todo lists for complex processes - onboarding, offboarding, management changes, etc.
The Chrome Web Lab for Makers, Hackers and everyone
Simple Chat App
Connect 4 game built with React
A magnetic field detector plugin. It displays the raw x, y, and z magnetometer values and a computed magnitude of the magnetic field.
Visualizing coronavirus covid-19 cases and deaths on a map with time travel + comparing countries on 1 chart. React + typescript + John Hopkins data.
Facial Recognition on Livestreams vetted by viewers for Expedition Hacks Arlington 2020
Documentation about css-modules
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Data and code behind the stories and interactives at FiveThirtyEight
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Simply enable SCSS and ES6 in your Django project
Dots & Boxes