stuarttruax Goto Github PK
Name: Stuart Truax
Type: User
Bio: Complex systems modeling, state estimation, dynamical systems.
Blog: www.stuarttruax.com
Name: Stuart Truax
Type: User
Bio: Complex systems modeling, state estimation, dynamical systems.
Blog: www.stuarttruax.com
Java class which parses and evaluates arithmetic expressions using LL(1) parsing.
Markov Chain Monte Carlo (MCMC) Bayesian parameter estimation using pymc3.
Box-Jenkins model identification method applied to the S&P 500.
Notebooks for application of common ML classifiers.
Curriculum learning applied to the signal detection problem for noisy time series data.
Time complexity study of the search operation for several dictionary implementations.
Examples of using deep learning for analyzing systems exhibiting phase transitions and critical phenomena.
Python code which fits exponential curves to time series price data of several ETFs.
Simulation code and detailed exposition of the free energy princple (FEP).
A Lattice Boltzmann fluid flow simulation written in Tensorflow.
Lattice Boltzmann Method (LBM) codes in MATLAB for educational purposes, based on codes in the textbook by A. A. Mohamad.
Notebooks for performing linear regressions and associated model evaluation.
Implementation of J. Schmidhuber’s LSTM recurrent neural network architecture for sequential data. (C++ using XCode IDE)
Implementations of several solution methods for Markov decision processes (MDPs).
Codes for analyzing and visualizing nonlinear dynamical systems. Based on the systems in the textbook by S. Strogatz.
Git for Palabos http://www.palabos.org/
Portfolio optimization using quadratic programming.
Analysis of the apogee achieved by a projectile in fluid media under inviscid fluid assumptions.
Python code which shows two techniques for matching regular expression patterns involving the Kleene star "*" to string input.
Lattice Boltzmann code from LANL
Code and explanation of Allan variance applied to time series data.
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.