Ming | Gary Ang's Projects
Using Javascript and Tensorflow.js to build a portfolio optimiser with constraints.
Using the pre-trained tensorflow.js Posenet model with three.js
Primer on linear regression with statsmodels and scikit-learn
Primer on Generative Art in Blender
A super simple walkthrough of Python
A super simple walkthrough of Python's data structures
My quaint writings
Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional recursion in three.js
generative_rossler
A super simple script for getting data from RSS feeds
Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional path separate and seek three.js
Super Simple Primer on Interpolation
A super simple script to get one started on selenium
Combining generative art with a simple style transfer
A super simple script for summarising stuff
A quick introduction on how to use tensorflow.js in the browser for machine learning - linear regression with batch gradient descent, adam optimizer, and a simple square mean error as the loss function. Progress is plotted with D3
Repository for example code from The Nature of Code book
A simple primer on manipulating vertices in three.js
A simple primer on three.js
A simple primer on using music in three.js
Time series analysis is essential when looking at financial data. Time series analysis simply means analysing data that changes over time. While we can apply many of the same techniques that we use to analyse other data-types to time series data, there are some other concepts and techniques that we need to learn.
Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
Mashing up p5.js and GSAP to tween fishes in a pond.
A super simple script for getting data from Twitter
Just a super simple script for sentiment scoring of tweets.
generative waterfall
Port of Daniel Shiffman's Nature of Code to three.js - 3 dimensional Wolfram CA in three.js