Hello!
I am Ritchie Ng, and I am currently conducting research in deep learning, computer vision and natural language processing in NExT Search Centre led by Professor Tat-Seng Chua that is jointly setup between National University of Singapore (NUS) and Tsinghua University and is part of NUS Smart Systems Institute.
Currently I live in University Town, NUS, as a Global Merit Scholar. Feel free to drop me a message if you are ever around NUS, I have a lot of free meal credits to spare!
Oh yes! You can check out some of my stickman comics on Machine Learning.
The Purpose of Artificial Intelligence
John Keynes predicted we would only work 15 hours a week. Yup, you heard it! I believe we can do that with even fewer stupendously productive hours. We can then spend the rest of our time doing other awesome things like Black Water Rafting. I bet you have never heard of that.
We can and will reach there by improving machine intelligence that can directly and indirectly improve people’s lives.
Papers
Deep Learning Courses
These are some of the courses I created that gradually builds up your deep learning capabilities.
Main Course Website, Deep Learning Wizard
Practical Deep Learning with PyTorch, Deep Learning Wizard
Past Talks
Meta Learning, AutoML, ICML, Sydney, 2017
Deep Learning for Self-Driving Cars and Medical Diagnostics, NVIDIA, Singapore, 2017
Scalable Hyperparameter Optimization, REWORK Deep Learning Summit, Singapore, 2017
Active Projects
Gloqo
This is basically “the Google” for searching code for computer science papers on arXiv. It’s currently concentrated on deep learning and machine learning. I started this companion website to arXiv.org to encourage reproducible research. You can easily search for code that are implemented by the authors themselves or often by others.
The Incredible PyTorch
This is an awesome curated list of tutorials, papers, projects, communities and more relating to PyTorch.
DLAMI
A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run any deep learning framework in less than 5 minutes including TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Torch, and Caffe.
Past Projects
Residual Networks with TensorFlow
Wide Residual Networks with TensorFlow
Training a Smart Cab (Reinforcement Learning)
Identifying Customer Segments (Unsupervised Learning)
Building a Student Intervention System (Supervised Learning)
Predicting Boston House Prices
Past Articles
The Great Conundrum of Hyperparameter Optimization, REWORK, 2017
Awards
Global Merit Scholarship 2014-2018, NUS
NUS top scholarship with only 4 awarded in NUS across all faculties for the year of my admission.
Full scholarship amounting to more than $100,000 covering tuition, allowance, accommodation, overseas trips and meals.
Dean’s List 2015/2016, NUS
Top 5% of my cohort.
I&E Practicum Award 2017, NUS
$10,000 Award.
Philip Yeo Innovation Fellowship 2017, NUS
$20,000 Award with a 1 year mentorship by Philip Yeo, Chairman of Spring Singapore.
Online Profiles
Languages, Libraries and Frameworks
| Machine Learning | Web Development | Others |
| Python | JavaScript | LaTeX |
| C/C++ | MeteorJS | Bash Scripting |
| TensorFlow | NodeJS | MongoDB |
| TensorLayer | SQL | |
| Keras | EViews | |
| Scikit-learn | Stata | |
| OpenCV | Adobe Illustrator | |
| PyTorch | Adobe Photoshop |
Headshot
This is me attempting to look dapper with my blazer, albeit I rarely wear suits.
