tomoleary's Stars
annayesy/slabLU
A two-level sparse direct solver for elliptic PDEs.
senna1128/Hessian-Averaging
This repository implements the experiments in the paper entitled ``Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence"
joshuawchen/randomized_generalized_hermitian_eigendecomposition_jax
A pure jax implementation of randomized-(generalized eigendecompositions of hermetian matrices, including gram matrices
bkc39/shellgpt.el
A lightweight ChatGPT client for Emacs based on shell-gpt
michael-c-brennan/lazymaps
Numerical examples from 'Greedy inference with structure-exploiting lazy maps'
tmasthay/iTTYL
Continuously schedule iMessage or SMS texts with file attachments from your Mac and iPhone.
nickhnelsen/fourier-neural-mappings
An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
hushon/JAX-ResNet-CIFAR10
Simple CIFAR10 ResNet example with JAX.
tmasthay/IslandOfMisfitToys
Implementations of various misfit functions in seismic literature
hippylib/tacc-containers
TACC Containers for hIPPYlib/FEniCS
hippylib/soupy
Stochastic Optimization under Uncertainty in Python.
tmasthay/Food-Combos
Small script that generates lists of food combinations by scraping Wikipedia articles.
geo-fluid-dynamics/sapphire
An engine for constructing PDE-based simulations using Firedrake
tomoleary/hessianlearn
Hessian-based stochastic optimization in TensorFlow and keras
tomoleary/dino
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
jettify/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
amirgholami/adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
hippylib/hippyflow
Dimension reduced surrogate construction for parametric PDE maps
aerolearn/adaptiveresnets
Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data
georgiastuart/two_phase_flow_c
UT-CHG/PYOPATRA
PYthon Ocean PArticle TRAcking
UT-CHG/dgswemv2
hippylib/hippylib
An Extensible Software Framework for Large-Scale Inverse Problems
cpempire/soupy
Stochastic Optimization under high-dimensional Uncertainty in Python
uvilla/cmis_labs
tomoleary/MatrixFreeNewton.jl
Prototyping of matrix free Newton methods in Julia
ctkelley/SIAMFANLEquations.jl
This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.
ctkelley/NotebookSIAMFANL
Notebook for my new solver book
paralab/Dendro-GR
Numerical relativity with octree based wavelet adaptive mesh refinement.
fhs/NPZ.jl
A Julia package that provides support for reading and writing Numpy .npy and .npz files