hakiimj Goto Github PK
Name: Hakiim Jamaluddin
Type: User
Company: UNSW Sydney
Bio: Symbolic data analysis and bayesian inference at the School of Mathematics and Statistics, UNSW Sydney & Uni Putra Malaysia
Twitter: hakiimj_
Location: Sydney
Name: Hakiim Jamaluddin
Type: User
Company: UNSW Sydney
Bio: Symbolic data analysis and bayesian inference at the School of Mathematics and Statistics, UNSW Sydney & Uni Putra Malaysia
Twitter: hakiimj_
Location: Sydney
Materials for the AMSI Winter School
:bar_chart: Methods of Applied Statistics Course Textbook Repository
List of summer schools in machine learning + related fields across the globe
Bayesian Data Analysis course at Aalto
A Latex Beamer Theme for the University of New South Wales
Homepage for STAT 157 at UC Berkeley
Classification of Large Number Variable with Two Imbalanced Groups
Novel Coronavirus 2019 time series data on cases
DataMining MATH5836 @UNSW
For Course Project Purpose
The Leek group guide to data sharing
Practical assignments of the Deep|Bayes summer school 2019
Short course on dimension reduction for AMSI
A robot powered training repository :robot:
Guided Stochastic Gradient Descent Algorithm (GSGD)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Github userpage
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Multi-layer perceptron with SGD and Adam optimiser
Mundana is a free Jekyll theme, Medium styled.
Implementation of Bayesian symbolic data analysis (SDA) via parallel computing
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Programming Bootcamp
sgmcmc: a stochastic gradient MCMC package for R
The code in this repository follows the paper "Stochastic gradient MCMC"
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.