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Feature/adding examples of DeepONets #149

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Feature/adding examples of DeepONets #149

wants to merge 506 commits into from
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Commits on Oct 10, 2023

  1. Added new documentation

    RBirmiwal committed Oct 10, 2023
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  2. adding nojekyll

    Birmiwal, Rahul R committed Oct 10, 2023
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  3. Merge branch 'birmiwal.rahul_development' of https://github.com/pnnl/… 

    …neuromancer into birmiwal.rahul_development
    Birmiwal, Rahul R committed Oct 10, 2023
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Commits on Oct 11, 2023

  1. trying alternative solution GHA

    Birmiwal, Rahul R committed Oct 11, 2023
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  2. bug fix

    Birmiwal, Rahul R committed Oct 11, 2023
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  3. bug fix

    Birmiwal, Rahul R committed Oct 11, 2023
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Commits on Oct 12, 2023

  1. added random walk signals to signals dictionary, modified signals tes… 

    …t to test for any numpy data type
    @Seth1Briney
    Seth1Briney committed Oct 12, 2023
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Commits on Oct 13, 2023

  1. Merge pull request #102 from pnnl/rd-walk-signals 

    added random walk signals to signals dictionary, modified signals tes…
    @drgona
    drgona authored Oct 13, 2023
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  2. adding test readme to test changes to docs workflow

    Birmiwal, Rahul R committed Oct 13, 2023
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  3. re-adding original readme

    Birmiwal, Rahul R committed Oct 13, 2023
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  4. testing modification to docs -- activations

    Birmiwal, Rahul R committed Oct 13, 2023
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  5. re-adding original activatoins.rst

    Birmiwal, Rahul R committed Oct 13, 2023
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  6. update readmes + new cvxpy example

    @drgona
    drgona committed Oct 13, 2023
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  7. fix readmes

    @drgona
    drgona committed Oct 13, 2023
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Commits on Oct 14, 2023

  1. updated cvxpy layer example

    @drgona
    drgona committed Oct 14, 2023
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Commits on Oct 15, 2023

  1. updated cvxpylayer example

    @drgona
    drgona committed Oct 15, 2023
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Commits on Oct 16, 2023

  1. cvxpy layer notebook

    @drgona
    drgona committed Oct 16, 2023
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  2. Merge pull request #104 from pnnl/develop 

    Develop
    @drgona
    drgona authored Oct 16, 2023
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  3. change umax back to (0.5, 0.5) in TwoTank due to numerical instabilit… 

    …y issues
    @Seth1Briney
    Seth1Briney committed Oct 16, 2023
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  4. Merge pull request #105 from pnnl/lower-umax-twotank 

    change umax back to (0.5, 0.5) in TwoTank due to numerical instability issues
    @drgona
    drgona authored Oct 16, 2023
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  5. add missing deppendency for the cvxpylayer example

    @drgona
    drgona committed Oct 16, 2023
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Commits on Oct 17, 2023

  1. adding progress to test_system

    Birmiwal, Rahul R committed Oct 17, 2023
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Commits on Oct 18, 2023

  1. updates to test problem and system

    Birmiwal, Rahul R committed Oct 18, 2023
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  2. testing activatiosn docss

    Birmiwal, Rahul R committed Oct 18, 2023
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  3. latest updates to test system and problem

    Birmiwal, Rahul R committed Oct 18, 2023
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Commits on Oct 19, 2023

  1. update readme param programming

    @drgona
    drgona committed Oct 19, 2023
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  2. Revisions to github action script to push to gh-pages

    Birmiwal, Rahul R committed Oct 19, 2023
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  3. fix issue

    Birmiwal, Rahul R committed Oct 19, 2023
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  4. adding original activations docs

    Birmiwal, Rahul R committed Oct 19, 2023
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  5. fix to run on personal branch push to test

    Birmiwal, Rahul R committed Oct 19, 2023
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  6. bug fix

    Birmiwal, Rahul R committed Oct 19, 2023
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Commits on Oct 20, 2023

  1. updates to test system and problem

    Birmiwal, Rahul R committed Oct 20, 2023
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  2. updating update_docs so it runs only on master

    Birmiwal, Rahul R committed Oct 20, 2023
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  3. fixing docstring for MovingHorizon

    Birmiwal, Rahul R committed Oct 20, 2023
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  4. updating readme to reflect new docs process

    Birmiwal, Rahul R committed Oct 20, 2023
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Commits on Oct 23, 2023

  1. experiments koopman control

    @drgona
    drgona committed Oct 23, 2023
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  2. update system.show() method 

    citations to koopman examples
    @drgona
    drgona committed Oct 23, 2023
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  3. remove file

    @drgona
    drgona committed Oct 23, 2023
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Commits on Oct 25, 2023

  1. New feat: update energy

    @LucasBoTang
    LucasBoTang committed Oct 25, 2023
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  2. Merge pull request #110 from LucasBoTang/gradproj 

    New feat: Update Violation Energy for Projected Gradient
    @drgona
    drgona authored Oct 25, 2023
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Commits on Oct 28, 2023

  1. updating readme in docs to include info about GHA

    Birmiwal, Rahul R committed Oct 28, 2023
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  2. revision to include line-by-line comments

    Birmiwal, Rahul R committed Oct 28, 2023
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  3. update README to include pip install and example usage instructions

    Birmiwal, Rahul R committed Oct 28, 2023
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Commits on Oct 29, 2023

  1. refactored some code and improved readability and removed test case f… 

    …or isolated graph to match new show() in system on develop branch
    Birmiwal, Rahul R committed Oct 29, 2023
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Commits on Oct 30, 2023

  1. made changes to test for movinghorizon, checking correctness of output

    Birmiwal, Rahul R committed Oct 30, 2023
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  2. updated docstring of MovingHorizon forward. The output should indeed … 

    …by (ndelay, batch, dim) dimension
    Birmiwal, Rahul R committed Oct 30, 2023
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  3. removing nojekyll file -- not needed for docs push

    Birmiwal, Rahul R committed Oct 30, 2023
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  4. Merge pull request #107 from pnnl/birmiwal.rahul_development 

    Birmiwal.rahul development
    @RBirmiwal
    RBirmiwal authored Oct 30, 2023
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Commits on Nov 1, 2023

  1. update pyproject.toml with latest version number

    Birmiwal, Rahul R committed Nov 1, 2023
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  2. remove helper.py from tests

    Birmiwal, Rahul R committed Nov 1, 2023
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  3. added version 1.4.2 placeholders in readme files

    Birmiwal, Rahul R committed Nov 1, 2023
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Commits on Nov 3, 2023

  1. potential fix to bias logic issue

    Birmiwal, Rahul R committed Nov 3, 2023
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  2. potential fix to bias logic issue. Removed a typo

    Birmiwal, Rahul R committed Nov 3, 2023
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  3. modifying notebooks to a different install line and adding note refle… 

    …cting lida 'error'
    Birmiwal, Rahul R committed Nov 3, 2023
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  4. adding notebook that showscases Pytorch Lightning integration for pro… 

    …blem and trainer
    Birmiwal, Rahul R committed Nov 3, 2023
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Commits on Nov 7, 2023

  1. Fixed positional argument error and added support for Time data

    Vasisht committed Nov 7, 2023
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  2. Merge pull request #119 from pnnl/file_emulator_fix 

    Fixed positional argument error and added support for Time data
    @drgona
    drgona authored Nov 7, 2023
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  3. update release notes and readme

    @madelynshapiro
    madelynshapiro committed Nov 7, 2023
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  4. Merge pull request #120 from pnnl/develop 

    NeuroMANCER 1.4.2
    @madelynshapiro
    madelynshapiro authored Nov 7, 2023
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  5. Update README.md 

    fix readme link
    @madelynshapiro
    madelynshapiro authored Nov 7, 2023
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  6. Update README.md

    @drgona
    drgona authored Nov 7, 2023
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  7. Update README.md

    @drgona
    drgona authored Nov 7, 2023
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  8. Update RELEASE_NOTES.md

    @drgona
    drgona authored Nov 7, 2023
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Commits on Nov 8, 2023

  1. fix for issue 111

    Birmiwal, Rahul R committed Nov 8, 2023
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  2. Merge pull request #121 from pnnl/master 

    updated readme
    @drgona
    drgona authored Nov 8, 2023
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Commits on Nov 10, 2023

  1. hotfix cvxpylayer notebook + readme update

    @drgona
    drgona committed Nov 10, 2023
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  2. Fix to linear.py

    Birmiwal, Rahul R committed Nov 10, 2023
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Commits on Nov 13, 2023

  1. testing lightning integration for NODE problems

    Birmiwal, Rahul R committed Nov 13, 2023
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  2. modifying notebooks to a different install line and adding note refle… 

    …cting lida 'error'
    Birmiwal, Rahul R committed Nov 13, 2023
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  3. adding cvxpy, etc to pyproject

    Birmiwal, Rahul R committed Nov 13, 2023
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  4. adding casadi to pyproject

    Birmiwal, Rahul R committed Nov 13, 2023
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  5. added numpy import that was missing

    Birmiwal, Rahul R committed Nov 13, 2023
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  6. potential fix to bias logic issue

    Birmiwal, Rahul R committed Nov 13, 2023
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  7. potential fix to bias logic issue. Removed a typo

    Birmiwal, Rahul R committed Nov 13, 2023
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  8. Fix to linear.py

    Birmiwal, Rahul R committed Nov 13, 2023
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  9. Merge branch 'bug/108-linear-base' of https://github.com/pnnl/neuroma… 

    …ncer into bug/108-linear-base
    Birmiwal, Rahul R committed Nov 13, 2023
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  10. Merge pull request #123 from pnnl/bug/116-koopman-operators-imports 

    Bug/116 koopman operators imports
    @drgona
    drgona authored Nov 13, 2023
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  11. Merge pull request #124 from pnnl/bug/108-linear-base 

    Bug/108 linear base
    @drgona
    drgona authored Nov 13, 2023
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Commits on Nov 14, 2023

  1. New feat: freeze parameters

    @LucasBoTang
    LucasBoTang committed Nov 14, 2023
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  2. Merge pull request #125 from LucasBoTang/param_freeze 

    Add `freeze` and `unfreeze` Methods to `Node`, `System` and `Problem` Classes
    @drgona
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Commits on Nov 15, 2023

  1. adding files protoyping lightning integration for generalized problem… 

    …/datasets
    Birmiwal, Rahul R committed Nov 15, 2023
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Commits on Dec 12, 2023

  1. protoyping source code for lightning integration and GPU support

    Birmiwal, Rahul R committed Dec 12, 2023
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  2. beginning folder containing lightning and gpu support examples

    Birmiwal, Rahul R committed Dec 12, 2023
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  3. adding initial draft of version showcasing distributed training suppo… 

    …rt across GPU with lightning
    Birmiwal, Rahul R committed Dec 12, 2023
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Commits on Dec 13, 2023

  1. updates to source code for lightning

    Birmiwal, Rahul R committed Dec 13, 2023
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  2. updating lightning examples, including one that solves issue 129 (luc… 

    …as) for complex objective function
    Birmiwal, Rahul R committed Dec 13, 2023
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  3. adding notebook that showscases Pytorch Lightning integration for pro… 

    …blem and trainer
    Birmiwal, Rahul R committed Dec 13, 2023
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  4. fix for issue 111

    Birmiwal, Rahul R committed Dec 13, 2023
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  5. testing lightning integration for NODE problems

    Birmiwal, Rahul R committed Dec 13, 2023
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  6. adding files protoyping lightning integration for generalized problem… 

    …/datasets
    Birmiwal, Rahul R committed Dec 13, 2023
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  7. protoyping source code for lightning integration and GPU support

    Birmiwal, Rahul R committed Dec 13, 2023
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  8. beginning folder containing lightning and gpu support examples

    Birmiwal, Rahul R committed Dec 13, 2023
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  9. adding initial draft of version showcasing distributed training suppo… 

    …rt across GPU with lightning
    Birmiwal, Rahul R committed Dec 13, 2023
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  10. updates to source code for lightning

    Birmiwal, Rahul R committed Dec 13, 2023
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  11. updating lightning examples, including one that solves issue 129 (luc… 

    …as) for complex objective function
    Birmiwal, Rahul R committed Dec 13, 2023
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  12. eerge branch 'feature/lightning-integration' of https://github.com/pn… 

    …nl/neuromancer into feature/lightning-integration

re merge:# the commit.
    Birmiwal, Rahul R committed Dec 13, 2023
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Commits on Jan 8, 2024

  1. updates for lightning integration

    Birmiwal, Rahul R committed Jan 8, 2024
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Commits on Jan 16, 2024

  1. revising source code files for lightning

    Birmiwal, Rahul R committed Jan 16, 2024
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Commits on Jan 17, 2024

  1. fixing issues for loading weights back into problem

    Birmiwal, Rahul R committed Jan 17, 2024
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  2. adding revised lightning examples folder

    Birmiwal, Rahul R committed Jan 17, 2024
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  3. changed Eq to nn.Module

    Birmiwal, Rahul R committed Jan 17, 2024
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  4. updating tests

    Birmiwal, Rahul R committed Jan 17, 2024
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  5. modified custom training step slightly

    Birmiwal, Rahul R committed Jan 17, 2024
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  6. revising README

    Birmiwal, Rahul R committed Jan 17, 2024
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  7. added wrong version earlier

    Birmiwal, Rahul R committed Jan 17, 2024
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  8. fixed typo

    Birmiwal, Rahul R committed Jan 17, 2024
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  9. refactored littrainer and removed monitor_metric (redundant)

    Birmiwal, Rahul R committed Jan 17, 2024
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Commits on Jan 18, 2024

  1. more revisions

    Birmiwal, Rahul R committed Jan 18, 2024
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Commits on Jan 26, 2024

  1. updates to include wandb, logging integration and warmup fix

    Rahul Birmiwal committed Jan 26, 2024
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  2. adding README

    Rahul Birmiwal committed Jan 26, 2024
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  3. adding lightning and wandb to pyproject.toml

    Rahul Birmiwal committed Jan 26, 2024
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  4. adding tensorboard example

    Rahul Birmiwal committed Jan 26, 2024
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  5. removing PINN example

    Rahul Birmiwal committed Jan 26, 2024
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  6. removing complex...example. Now in Part 3 of main examples folder

    Rahul Birmiwal committed Jan 26, 2024
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  7. removing old notebook

    Rahul Birmiwal committed Jan 26, 2024
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  8. adding snippet for wanbd logger

    Rahul Birmiwal committed Jan 26, 2024
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  9. rremoving old noteboook

    Rahul Birmiwal committed Jan 26, 2024
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Commits on Apr 5, 2024

  1. added cvxpy, etc to resolve conflict

    Rahul Birmiwal committed Apr 5, 2024
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  2. updated version number and updated email

    Rahul Birmiwal committed Apr 5, 2024
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  3. Merge pull request #133 from pnnl/feature/lightning-integration 

    Integration of Lightning
    @RBirmiwal
    RBirmiwal authored Apr 5, 2024
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  4. fixed indent

    Rahul Birmiwal committed Apr 5, 2024
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  5. Merge branch 'develop' into feature/lightning-integration

    @RBirmiwal
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Commits on Apr 9, 2024

  1. removed straggler files

    Birmiwal, Rahul R committed Apr 9, 2024
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  2. adding README and release_notes

    Birmiwal, Rahul R committed Apr 9, 2024
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  3. fixed wording

    Birmiwal, Rahul R committed Apr 9, 2024
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  4. fixed wording

    Birmiwal, Rahul R committed Apr 9, 2024
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  5. fixed wording

    Birmiwal, Rahul R committed Apr 9, 2024
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  6. typo

    @RBirmiwal
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  7. update README

    Birmiwal, Rahul R committed Apr 9, 2024
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  8. update README

    Birmiwal, Rahul R committed Apr 9, 2024
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  9. fix typos

    Birmiwal, Rahul R committed Apr 9, 2024
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  10. Merge pull request #142 from pnnl/develop 

    Merge develop (1.5) into master
    @RBirmiwal
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Commits on Apr 10, 2024

  1. Update pyproject.toml

    @RBirmiwal
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  2. update lightning notebook language to inform user if running on colab… 

    … to use GPU runtime
    Birmiwal, Rahul R committed Apr 10, 2024
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  3. Merge pull request #143 from pnnl/develop 

    hotfix -- toml
    @RBirmiwal
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Commits on Apr 19, 2024

  1. Fix typos in intro tutorial docs

    Donna Vakalis committed Apr 19, 2024
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Commits on Apr 23, 2024

  1. Make tests run on linux 

    Add 2 necessary packages (lightning, wandb) in manual installation section for linux.
Small bug fix in test_constraint: sampled_from needs a list as argument.
Some tests still fail but at least pytest can now run in /test directory.
    @l2late
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  2. Merge pull request #147 from DonnaVakalis/fix-typos 

    Fix typos in intro tutorial docs
    @drgona
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  3. Merge pull request #148 from l2late/master 

    Make tests run on linux
    @drgona
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  4. Adding example 1 (antiderivative) of DeepOnets

    @brunopjacob
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Commits on Apr 24, 2024

  1. Commit test

    @colbyham
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Commits on Apr 25, 2024

  1. Remove test commit file

    @colbyham
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  2. removing duplicate example

    Birmiwal, Rahul R committed Apr 25, 2024
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Commits on Apr 27, 2024

  1. Add current progress w/ loss history plotting

    @colbyham
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Commits on May 1, 2024

  1. Fixed typos in parametric programming tutorials

    Donna Vakalis committed May 1, 2024
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  2. Merge branch 'master' into new-typos

    Donna Vakalis authored May 1, 2024
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  3. Merge pull request #150 from DonnaVakalis/new-typos 

    Fixed minor typos in parametric programming tutorials
    @drgona
    drgona authored May 1, 2024
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  4. Add curent progress for deeponet example

    @colbyham
    colbyham committed May 1, 2024
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  5. Add current changes to trainer

    @colbyham
    colbyham committed May 1, 2024
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  6. add reqs file

    @colbyham
    colbyham committed May 1, 2024
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  7. commit w/ less log prints

    @colbyham
    colbyham committed May 1, 2024
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Commits on May 6, 2024

  1. basic KAN integration and 2d steady Navier-Stokes companion example

    @brunopjacob
    brunopjacob committed May 6, 2024
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Commits on May 7, 2024

  1. TLC of example

    @brunopjacob
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  2. TLC

    @brunopjacob
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  3. adding kan to dict of blocks

    @brunopjacob
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Commits on May 9, 2024

  1. Add latest progress

    @colbyham
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  2. add deepxde to requirements for operator example

    @colbyham
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  3. Move basic time comparison to completed

    @colbyham
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Commits on May 10, 2024

  1. Merge pull request #151 from pnnl/feature/kan_integration 

    Feature/KAN integration
    @drgona
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Commits on May 16, 2024

  1. Add current progress trying to get a class implemented

    @colbyham
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  2. Update README.md

    @drgona
    drgona authored May 16, 2024
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  3. Add DeepONet class working definitino and usage in notebook

    @colbyham
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Commits on May 20, 2024

  1. Move multi-node example to separate notebook

    @colbyham
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Commits on May 23, 2024

  1. Move dataset prep to function to reduce amount of code

    @colbyham
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Commits on May 29, 2024

  1. Added custom legends to plots

    @caryfaulknerPNNL
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  2. Changed pltCL function to return figure objects to allow for custom p… 

    …lotting
    @caryfaulknerPNNL
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  3. Added custom legends to plots

    @caryfaulknerPNNL
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  4. Changed pltOL function to return figure objects for custom plotting

    @caryfaulknerPNNL
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  5. Modified custom legends

    @caryfaulknerPNNL
    caryfaulknerPNNL committed May 29, 2024
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  6. Fixed pydot error

    @caryfaulknerPNNL
    caryfaulknerPNNL committed May 29, 2024
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  7. Fixed pydot error

    @caryfaulknerPNNL
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  8. Added custom legends to plots

    @caryfaulknerPNNL
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  9. Added custom legends

    @caryfaulknerPNNL
    caryfaulknerPNNL committed May 29, 2024
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  10. Updated names in legends

    @caryfaulknerPNNL
    caryfaulknerPNNL committed May 29, 2024
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  11. Merge pull request #157 from pnnl/issue_improve_building_examples 

    Improving building example notebooks
    @drgona
    drgona authored May 29, 2024
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Commits on May 30, 2024

  1. fixed predator-prey equation in PSL.autonomous

    @MatisPatel
    MatisPatel committed May 30, 2024
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  2. fixing the terms in the LV equation for dynamics.ode

    @MatisPatel
    MatisPatel committed May 30, 2024
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  3. Update ode.py 

    adding trainable parameter alpha to LV system
    @drgona
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  4. Merge pull request #158 from MatisPatel/fixing--LV 

    Fixing  lv equations in dynamics.ode and psl.autonomous
    @drgona
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  5. Add latest progress, cleanup and added markdown for problem setup

    @colbyham
    colbyham committed May 30, 2024
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  6. Update README.md

    @drgona
    drgona authored May 30, 2024
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Commits on Jun 1, 2024

  1. Confirm cpu and mps(gpu like) devices both work with example

    @colbyham
    colbyham committed Jun 1, 2024
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  2. Commit datasets to repo

    @colbyham
    colbyham committed Jun 1, 2024
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  3. Remove some extra comments for cleanup

    @colbyham
    colbyham committed Jun 1, 2024
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  4. Remove deepxde example after comparing

    @colbyham
    colbyham committed Jun 1, 2024
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Commits on Jun 5, 2024

  1. Merge pull request #161 from pnnl/master 

    getting develop up to date with master
    @drgona
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Commits on Jun 7, 2024

  1. Get train and dev loss plotting in one plot

    @colbyham
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  2. Convert original test split to dev/test split

    @colbyham
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  3. Add another example of a more understandable integral

    @colbyham
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  4. Switch patience from 5->0, once loss starts increasing seems clear th… 

    …at it is overfitting
    @colbyham
    colbyham committed Jun 7, 2024
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  5. Add problem predict method to example to replace step

    @colbyham
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  6. Add current progress to note with dynamic loss printing from callback

    @colbyham
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  7. Update static plot title

    @colbyham
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  8. Move import to top

    @colbyham
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Commits on Jun 10, 2024

  1. add note about problem predict

    @colbyham
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  2. add note about adding symbolic example

    @colbyham
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  3. add latest

    @colbyham
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Commits on Jun 14, 2024

  1. Remove requirements file

    @colbyham
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  2. Rename notebook

    @colbyham
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  3. remove multinode example

    @colbyham
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  4. Add deeponets to readmes and clean up notebook, remove completed tasks

    @colbyham
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  5. Add latest for testing on colab

    @colbyham
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  6. remove debug comment in trainer

    @colbyham
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  7. Fix comment for final link

    @colbyham
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  8. Add final changes

    @colbyham
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  9. Remove comment about single node

    @colbyham
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Commits on Jun 27, 2024

  1. Remove DeepONet class from blocks, move DeepONet class to dynamics.op… 

    …erators and transform it into a nn.Module
    @colbyham
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  2. Adding example 1 (antiderivative) of DeepOnets

    @brunopjacob @colbyham
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  3. Commit test

    @colbyham
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  4. Remove test commit file

    @colbyham
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  5. Add current progress w/ loss history plotting

    @colbyham
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  6. Add curent progress for deeponet example

    @colbyham
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  7. Add current changes to trainer

    @colbyham
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  8. add reqs file

    @colbyham
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  9. commit w/ less log prints

    @colbyham
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  10. Add latest progress

    @colbyham
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  11. add deepxde to requirements for operator example

    @colbyham
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  12. Move basic time comparison to completed

    @colbyham
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  13. Add current progress trying to get a class implemented

    @colbyham
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  14. Add DeepONet class working definitino and usage in notebook

    @colbyham
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  15. Move multi-node example to separate notebook

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  16. Move dataset prep to function to reduce amount of code

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  17. Add latest progress, cleanup and added markdown for problem setup

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  18. Confirm cpu and mps(gpu like) devices both work with example

    @colbyham
    colbyham committed Jun 27, 2024
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  19. Commit datasets to repo

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  20. Remove some extra comments for cleanup

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  21. Remove deepxde example after comparing

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    colbyham committed Jun 27, 2024
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  22. Get train and dev loss plotting in one plot

    @colbyham
    colbyham committed Jun 27, 2024
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  23. Convert original test split to dev/test split

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  24. Add another example of a more understandable integral

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  25. Switch patience from 5->0, once loss starts increasing seems clear th… 

    …at it is overfitting
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  26. Add problem predict method to example to replace step

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  27. Add current progress to note with dynamic loss printing from callback

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  28. Update static plot title

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    colbyham committed Jun 27, 2024
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  29. Move import to top

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  30. add note about problem predict

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  31. add note about adding symbolic example

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    colbyham committed Jun 27, 2024
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  32. add latest

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    colbyham committed Jun 27, 2024
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  33. Remove requirements file

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    colbyham committed Jun 27, 2024
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  34. Rename notebook

    @colbyham
    colbyham committed Jun 27, 2024
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  35. remove multinode example

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    colbyham committed Jun 27, 2024
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  36. Rebase onto develop

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  37. Add latest for testing on colab

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  38. remove debug comment in trainer

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    colbyham committed Jun 27, 2024
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  39. Fix comment for final link

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    colbyham committed Jun 27, 2024
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  40. Add final changes

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    colbyham committed Jun 27, 2024
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  41. Remove comment about single node

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    colbyham committed Jun 27, 2024
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  42. Remove DeepONet class from blocks, move DeepONet class to dynamics.op… 

    …erators and transform it into a nn.Module
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  43. Merge remote-tracking branch 'origin/feature/deeponet_examples' into … 

    …feature/deeponet_examples

# Conflicts:
#	README.md
#	examples/DeepONets/Part_1_antiderivative_aligned.ipynb
#	src/neuromancer/modules/blocks.py
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  44. rename directory DeepONets -> neural_operators

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    colbyham committed Jun 27, 2024
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