Hello!

Currently I am leading artificial intelligence with my colleagues in ensemblecap.ai, an AI hedge fund based in Singapore comprising quants and traders from JPMorgan and Nomura. I have built the whole AI tech stack in a production environment with rigorous time-sensitive and fail-safe software testing powering multi-million dollar trades daily.

I am also an NVIDIA Deep Learning Institute instructor leading all deep learning workshops in NUS, Singapore and conducting workshops across Southeast Asia.

My passion for enabling anyone to leverage on deep learning has led to the creation of Deep Learning Wizard where I have taught and still continue to teach more than 2000 students in over 60 countries around the world. The course is recognized by Soumith Chintala, Facebook AI Research, and Alfredo Canziani, Post-Doctoral Associate under Yann Lecun, as the first comprehensive PyTorch Video Tutorial.

In my free time, I’m into deep learning research with researchers based in NExT++ (NUS) led by Chua Tat-Seng and MILA led by Yoshua Bengio. I was previously conducting research in meta-learning for hyperaparameter optimization for deep learning algorithms in NExT Search Centre that is jointly setup between National University of Singapore (NUS), Tsinghua University and University of Southampton led by co-directors Prof Tat-Seng Chua (KITHCT Chair Professor at the School of Computing), Prof Sun Maosong (Dean of Department of Computer Science and Technology, Tsinghua University), and Prof Dame Wendy Hall (Director of the Web Science Institute, University of Southampton). During my time there, I managed to publish in top-tier conferences and workshops like ICML and IJCAI.

I’m based in Singapore currently. Previously I was based in Seoul (South Korea), Indiana (USA), and Milan (Italy) for extended periods.

Oh yes! You can check out some of my cool stickman comics on Machine Learning if you are looking to chill with my stickman.

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.

Deep Learning Courses

These are some of the courses I created that will gradually build up your deep learning capabilities.
Main Website, Deep Learning Wizard
Practical Deep Learning with PyTorch, Deep Learning Wizard

Upcoming Talks/Workshops

Explainable Deep Learning, Nanjing, China, November 2018
Deep Learning for Financial Time Series, NVIDIA, Singapore, December 2018 (more details coming soon)

Key Papers

Neural Optimizers with Hypergradients for Tuning Parameter-Wise Learning Rates, ICML 2017

Past Talks/Workshops

PyTorch Developer Conference, Facebook, San Francisco, USA, October 2018
Hyperparameter Optimization with Neural Optimizers, Big Data & AI Leaders Summit, Singapore, September 2018
Image Classification Workshop, NUS-NUH-MIT Datathon, NVIDIA, Singapore, July 2018
Object Detection with DIGITS, NVIDIA, Singapore, June 2018
Image Classification with DIGITS, NVIDIA, Singapore, May 2018
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

Past Projects

Residual Networks with TensorFlow

Wide Residual Networks with TensorFlow

Large Scale Identification of Multiple Digits from Real-world Images with Convolutional Neural Networks (CNN)

Training a Smart Cab (Reinforcement Learning)

Identifying Customer Segments (Unsupervised Learning)

Building a Student Intervention System (Supervised Learning)

Predicting Boston House Prices

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 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, and overseas trips.

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 mentorship by Philip Yeo, Chairman of Spring Singapore.
I was fortunately also under the mentorship of Kiren Kumar (AMD, EDB).

Valedictorian (Reserve) Class of 2018, NUS
It happened.

Chua Thian Poh Community Leadership Programme Fellow 2018, NUS
Established with generous gifts from Mr Chua Thian Poh, the Centre aims to nurture Singapore’s next generation of community leaders. These leaders will not only be intellectually engaged with social and community issues, but will also be passionate about addressing social and community challenges in Singapore.

Online Profiles

Github
Linkedin

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.
Ritchie Ng

Credits

I would like to thank all my readers for their encouraging participation on this Github page. I would also like to thank Github Pages for serving this respository of notes for free.

I would like to give full credit to the respective authors for their free courses and materials online like Andrew Ng, Data School and Udemy where my notes are from them. These personal notes are meant for my personal review but I have open-sourced my repository of personal notes as a lot of people found it useful.

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