A generative speech model for daily dialogue.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

A library for scientific machine learning and physics-informed learning

A package for the sparse identification of nonlinear dynamical systems from data

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

Using graph network to solve PDEs

Analysis & visualization of energy & climate scenarios

The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Parallelizing DRL for Active Flow control

Sparse Physics-based and Interpretable Neural Networks

Deep learning for solving and estimating dynamic macro-finance models