Pinned Repositories
DeepGenerativeModelingIntro
PyTorch Code used in 'Introduction to Deep Generative Modeling'
DOvsOD_NeuralODEs
code for "Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows".
DynamicBlocks
A pytorch toolbox designed for experimentation using a generalization of the Resnet design.
FBSNNs
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
NeuralSOC
PyTorch codes to reproduce results from Li et al. 2023.
NumDL-CourseNotes
Course notes for graduate-level class on numerical methods for deep learning
OT-Flow
PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
PNKH-B
MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization
PyHySCO
Pytorch toolbox for Hyperelastic Susceptibility Artifact Correction
EmoryMLIP's Repositories
EmoryMLIP/OT-Flow
PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
EmoryMLIP/DeepGenerativeModelingIntro
PyTorch Code used in 'Introduction to Deep Generative Modeling'
EmoryMLIP/MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
EmoryMLIP/DynamicBlocks
A pytorch toolbox designed for experimentation using a generalization of the Resnet design.
EmoryMLIP/PNKH-B
MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization
EmoryMLIP/DOvsOD_NeuralODEs
code for "Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows".
EmoryMLIP/FBSNNs
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
EmoryMLIP/NeuralSOC
PyTorch codes to reproduce results from Li et al. 2023.
EmoryMLIP/NumDL-CourseNotes
Course notes for graduate-level class on numerical methods for deep learning
EmoryMLIP/PyHySCO
Pytorch toolbox for Hyperelastic Susceptibility Artifact Correction
EmoryMLIP/COT-Flow
PyTorch implementation of the COT-Flow approach
EmoryMLIP/CS584.jl
Julia Environment for Numerical Methods for Deep Learning Class
EmoryMLIP/emory-reu-ret-website
EmoryMLIP/PCP-Map
PyTorch implementation of the PCP-Map approach.
EmoryMLIP/HybridRFM
Code accompanying the paper 'Avoiding The Double Descent Phenomenon of Random FeatureModels Using Hybrid Regularization'
EmoryMLIP/grad-cnns
Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"