Name: Richard Cornelius Suwandi
Type: User
Company: @cuhkshenzhen
Bio: PhD student at @cuhkshenzhen
Twitter: richardcsuwandi
Location: Shenzhen, China
I am a PhD student at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). Prior to my PhD, I obtained my BSc degree in Statistics from CUHK-Shenzhen.
I am fortunate to be advised by Prof. Feng Yin and Prof. Tsung-Hui Chang. My current research interests include:
If you are interested in collaborating or discussing research ideas, feel free to reach out via email.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
islr-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
linkedin-network-analysis
Exploratory analysis and visualizations on my own LinkedIn data.
ml-auto-app
ml-mini-projects
A series of Machine Learning mini projects implemented in Python.
mlfromscratch
Machine Learning algorithm implementations from scratch.
nlp_bahasa_resources
A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia
palmerpenguins
A great intro dataset for data exploration & visualization (alternative to iris).
parametricgp
Parametric Gaussian Process Regression for Big Data
ppsdcw1
Repository containing materials used for PPSD Coding Workshop 1.0
ppsdcw2
Repository containing materials used for PPSD Coding Workshop 2.0
programming-abstractions
Stanford CS106B
pycaret
An open source, low-code machine learning library in Python
pysyft
A library for answering questions using data you cannot see
python
All Algorithms implemented in Python
python-workshop
Repository containing materials used for PPSD Python Workshop.
r-projects
A series of Data Science projects implemented in R.
richardcsuwandi
richardcsuwandi.github.io
slim-kl
Sparse LInear Multiple Kernel Learning (SLIM-KL)
spaghetti
SPAtial GrapHs: nETworks, Topology, & Inference
sql-workshop
Repository containing materials used for PPIT Shenzhen's SQL Workshop.
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
tc-projects
Repository containing projects created using Turi Create.
traingenerator
🧙 A web app to generate template code for machine learning
tsa4
R code for Time Series Analysis and Its Applications, Ed 4
word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (RNN, LSTM, and GRU) for word-level language models in Python using TensorFlow.
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
