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1. Commits on Sep 20, 2023

   • Started working on latent graph learning

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2. Commits on Sep 19, 2023

   • Added reference on NeuralPDE and GraphOT

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3. Commits on Jan 18, 2023

   • Going forward with Diffusion, need to add reference summary

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4. Commits on Dec 12, 2022

   • Adding some physics101 topics of interest to be investigated

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5. Commits on Oct 17, 2022

   • Started investigating diffusion models for generative approach

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6. Commits on May 30, 2022

   • Added reference of interest with regard to static code analysis

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7. Commits on May 10, 2022

   • Update on NeuralPDE for Roddier reconstruction, as well as new usecase for absolute encoder

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8. Commits on Dec 5, 2021

   • Just adding some info about basic graph (DAG) algorithm for static scheduling

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9. Commits on Nov 23, 2021

   • Checking out use of ML/DL for static code analysis to discover vulnerabilities

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10. Commits on Nov 10, 2021

    • Added gabriel peyre sides for large scale OT in machine learning

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11. Commits on Oct 14, 2021

    • Importing content from graph notebooks

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12. Commits on Oct 12, 2021

    • Added Graph signal processing notebooks from other repo

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13. Commits on Oct 11, 2021

    • Adding some references from Gabriel Peyre and Cuturi on optimal transport

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14. Commits on Oct 9, 2021

    • Added reference for entropic regularization of OT

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    • Added mutual information definition for gaussian devinition + primer on wasserstein distance and optimal transport

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15. Commits on Jul 15, 2021

    • Added docs on Wavefront reconstruction for Roddier method and more generally to study Transport of intensity equation (TIE)

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16. Commits on May 26, 2021

    • Implemented the conditional VAE

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17. Commits on May 25, 2021

    • Improved Variational Autoencoder course, still need to finish with reparametrization trick. Also added reference for DeepMind Razavi & Al paper on high fidelity VAE

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18. Commits on Apr 11, 2021

    • Starting to work on some optics / pde related problem

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19. Commits on Mar 18, 2021

    • More content on normalizing flows after digesting the ECCV tutorial by Brubaker

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20. Commits on Mar 15, 2021

    • Adding Bishop paper on PPCA + continuying on PPCA

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21. Commits on Mar 4, 2021

    • Investigating normalizing flows

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22. Commits on Aug 26, 2020

    • Continue experiments on ellipse fitting

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23. Commits on Jul 1, 2020

    • Small demo of recursive least square

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24. Commits on May 26, 2020

    • Continue working on control theory and added a lot of other research topic

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25. Commits on Mar 27, 2020

    • Work planning on supervised/unsupervised decomposition

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26. Commits on Oct 16, 2019

    • Started ipython notebook on PCA/kernelPCA and ICA

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27. Commits on Jul 9, 2019

    • Decided to delete Signal processing repo and mixed with this repo

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