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cot-flow

PyTorch implementation of the COT-Flow approach

cs584.jl

Julia Environment for Numerical Methods for Deep Learning Class

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.

emory-reu-ret-website

fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

grad-cnns

Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"

hybridrfm

Code accompanying the paper 'Avoiding The Double Descent Phenomenon of Random FeatureModels Using Hybrid Regularization'

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

pcp-map

PyTorch implementation of the PCP-Map approach.

pnkh-b

MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization

pyhysco

Pytorch toolbox for Hyperelastic Susceptibility Artifact Correction