cnhung

carms

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

diffeqpy

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

e2cnn

E(2)-Equivariant CNNs Library for Pytorch

Fusion

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Graph-Posterior-Network

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

hmnlica

Code for Hidden Markov Nonlinear ICA

Practical_RL

A course in reinforcement learning in the wild

cnhung/carms

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

cnhung/databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

cnhung/diffeqpy

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

cnhung/e2cnn

E(2)-Equivariant CNNs Library for Pytorch

cnhung/Fusion

cnhung/gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

cnhung/Graph-Posterior-Network

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

cnhung/gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

cnhung/hmnlica

Code for Hidden Markov Nonlinear ICA

cnhung/Practical_RL

A course in reinforcement learning in the wild

cnhung/PyFstat

a python package for gravitational wave analysis with the F-statistic

cnhung/pysindy

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

cnhung/RNAonGraph

A repository for neural representational learning of RNA secondary structures