Xfmers
Python Library to quickly initialise custom Transformer models
AI Lab Container
GPU container for rapid and flexible prototyping for AI applications 
JupyterHub @ SUTD
NVIDIA GPU cluster to support deep learning undergraduate courses and research: Moodle and JupyterHub, running on a multi-node Kubernetes cluster on-premise.
Setup process and configuration files are publicly available on GitHub.
NVStatsRecorder
Python Library to easily record and graph various NVIDIA GPU metrics during model training. 
NSCC On-boarding
Developed on-boarding examples to assist research teams in Singapore to do deep learning training on NSCC, Singapore’s National Supercomputing Cluster.
Open Source contributions
Transformers
NLP Library by HuggingFace
#1763, #1668, #1590
Fixed Keras model.fit() training for TF XLNet, TF XLM models
#1667, #1508
Added automatic mixed precision support for training examples and inference benchmarks
TensorFlow
DL Library by Google
#29249
Added docstring for tf.train.experimental.enable_mixed_precision_graph_rewrite
Past Projects
Optimizing BERT Training Performance in tf.keras
Exploration of various techniques and the impact on training throughput of BERT.
Chrome Extension to combat Fake News
Chrome Extension to educate users on evaluating the credibility of a web page.
SmartBin
Real-time object detection and classification of recyclable waste.