Pinned Repositories
hessQuik
Computing gradients and Hessians of feed-forward networks with GPU acceleration
tensor-fmri
Tensor-based approaches for fMRI classification
DL4IP
Dictionary Learning for Inverse Problems
dnn101
A hands-on tutorial of deep neural networks for mathematicians
slimTrain
Sampled Limited-Memory DNN Training using Pytorch
star-M-opt
Optimizing matrix-mimetic tensor algebras
tnn
Matrix-Mimetic Tensor Neural Networks
fast-n-fair
Fast adversarial training for fair machine learning
projected-products
Projected tensor-tensor products for multiway data compression
BayesianNNPlay
A tool to explore Bayesian Neural Networks
elizabethnewman's Repositories
elizabethnewman/hessQuik
Computing gradients and Hessians of feed-forward networks with GPU acceleration
elizabethnewman/tensor-fmri
Tensor-based approaches for fMRI classification
elizabethnewman/DL4IP
Dictionary Learning for Inverse Problems
elizabethnewman/dnn101
A hands-on tutorial of deep neural networks for mathematicians
elizabethnewman/slimTrain
Sampled Limited-Memory DNN Training using Pytorch
elizabethnewman/star-M-opt
Optimizing matrix-mimetic tensor algebras
elizabethnewman/tnn
Matrix-Mimetic Tensor Neural Networks
elizabethnewman/fast-n-fair
Fast adversarial training for fair machine learning
elizabethnewman/projected-products
Projected tensor-tensor products for multiway data compression
elizabethnewman/BayesianNNPlay
A tool to explore Bayesian Neural Networks
elizabethnewman/carl
Likelihood-free inference toolbox.
elizabethnewman/elizabethnewman.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
elizabethnewman/emory-reu-ret-website
elizabethnewman/fctSnPM
Using spm1d package (v.0.4.3), compute anova and post-hoc tests from anova1 to anova3rm, with a non-parametric approach (permutation tests)
elizabethnewman/Fireworks
PyTorch with DataFrames
elizabethnewman/GenerativeModelingPlay
elizabethnewman/Meganet.m
A fresh approach to deep learning written in MATLAB
elizabethnewman/mri_pituitary
elizabethnewman/my-website
elizabethnewman/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
elizabethnewman/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
elizabethnewman/rl_trajectory
Play with trajectory environment
elizabethnewman/scikit-learn
scikit-learn: machine learning in Python
elizabethnewman/starter-hugo-research-group
elizabethnewman/test_project
Testing github out.