richardcsuwandi Goto Github PK

followers: 24.0 following: 5.0 repos: 56.0 gists: 14.0

Name: Richard Cornelius Suwandi

Type: User

Company: @cuhkshenzhen

Bio: PhD student at @cuhkshenzhen

Twitter: richardcsuwandi

Location: Shenzhen, China

Blog: richardcsuwandi.github.io

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:

Probabilistic machine learning, especially Gaussian processes
Decision-making under uncertainty with Bayesian optimization
Generative AI, including large language models and diffusion models

If you are interested in collaborating or discussing research ideas, feel free to reach out via email.

Richard Cornelius Suwandi's Projects

academia-hugo

Academia Hugo theme is forked from Hugo Academic Template.

airline-sentiment

A data-driven web app that visualizes various sentiment and exploratory analysis on tweets about US airlines.

applied-time-series-analysis-with-r

Time Series Analysis : Text Time Series Analysis And Applications by R. Shumway & D. Stoffer

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-federated-learning

Federated Learning Library: https://fedml.ai

bayesian-optimization-in-action

Source code for Bayesian Optimization in Action, published by Manning

bb_downloader

A Chrome extension to download notes on Blackboard.

chinese-calligraphy-classifier

A Chinese calligraphy classifier built using fast.ai.

coursecupid

A course recommender for CUHK-Shenzhen students

covid19-time-series

Time series visualizations on the number of confirmed cases, deaths, and recoveries from COVID-19.

data-science

Collection of useful data science topics along with code and articles

data-structures-and-algorithms

A collection of powerful data structures and algorithms implemented using Python.

datasets

This repository contains the datasets used in my projects.

distributed-gsm

Distributed learning for Grid Spectral Mixture (GSM) kernel

dl-projects

A series of Deep Learning projects implemented using Keras and TensorFlow.

eda-tool

An exploratory analysis tool that provides various summaries and visualizations on the uploaded data.

fantasy-premier-league

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

feature_engine

Feature engineering package with sklearn like functionality

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.