Pinned Repositories
cme257-advanced-julia
Advanced Topics in Scientific Computing with Julia
caffe
Caffe: a fast open framework for deep learning.
cme257-advanced-julia
Advanced Topics in Scientific Computing with Julia
deep_variational_koopman
Source Code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019
JuliaSets
Package for visualizing Julia sets
normalNLL
Loss criterion for normal distribution predictions
vbf
Implementation of Deep Variational Bayes Filter
deep_flow_control
Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
gail-driver
variational_koopman
Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019.
Jgmorton's Repositories
Jgmorton/vbf
Implementation of Deep Variational Bayes Filter
Jgmorton/deep_variational_koopman
Source Code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019
Jgmorton/normalNLL
Loss criterion for normal distribution predictions
Jgmorton/caffe
Caffe: a fast open framework for deep learning.
Jgmorton/cme257-advanced-julia
Advanced Topics in Scientific Computing with Julia
Jgmorton/JuliaSets
Package for visualizing Julia sets