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23 followers · 2 following
  • University of Washington

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Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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  • jcallaham.github.io Public

    SCSS 1 MIT License Updated Sep 10, 2024

  • micrograd Public

    Forked from karpathy/micrograd

    A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

    Jupyter Notebook MIT License Updated Jan 3, 2024

  • diffrax Public

    Forked from patrick-kidger/diffrax

    Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

    Python Apache License 2.0 Updated Oct 9, 2023

  • diff-zoo Public

    Forked from MikeInnes/diff-zoo

    Differentiation for Hackers

    Julia MIT License Updated Apr 30, 2023

  • nekflows Public

    Python utilities and standard flow configurations for Nek5000 CFD simulation

    Jupyter Notebook GNU General Public License v3.0 Updated Apr 6, 2023

  • torchdyn Public

    Forked from DiffEqML/torchdyn

    A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

    Jupyter Notebook Apache License 2.0 Updated Mar 16, 2023

  • torchcontrol Public

    Forked from DiffEqML/torchcontrol

    A PyTorch library for all things nonlinear control and reinforcement learning.

    Jupyter Notebook Apache License 2.0 Updated Mar 12, 2023

  • firedrake Public

    Forked from firedrakeproject/firedrake

    Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

    Python Other Updated Jul 28, 2022

  • e3nn Public

    Forked from e3nn/e3nn

    A modular framework for neural networks with Euclidean symmetry

    Python Other Updated Nov 18, 2021

  • siamcse21 Public

    Forked from sriharikrishna/siamcse21

    Resources for the SIAMCSE21 minitutorial "Automatic Differentiation as a Tool for Computational Science"

    Jupyter Notebook Updated Mar 4, 2021

  • data-driven-discretization-1d Public

    Forked from google/data-driven-discretization-1d

    Code for "Learning data-driven discretizations for partial differential equations"

    Jupyter Notebook 1 Apache License 2.0 Updated Dec 10, 2019

  • robust-flow-reconstruction Public

    Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 2018)

    MATLAB 13 4 Updated Oct 23, 2018

  • population-annealing Public

    Data and code accompanying 2017 PRE paper with Jon Machta

    C++ 1 GNU General Public License v3.0 Updated Sep 20, 2017