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raghulchandramouli/README.md

What I'm Up To

I read research papers for "fun," try to reimplement them and usually end up debugging my life choices more than my code

  • Currently Learning/doing:
    • Forensics in Generative modeling - "identifying fake images made by fake models trained on fake data, if your wondering its going great or so I say to myself :("
  • Future Plans:
    • Mech Interp - aka Mission Impossible: decoding neural nets before they decode me

Quote I live by: If you don't succeed, blame the author of the paper or its just following the laws of modern ML...

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  1. Remaskable Remaskable Public

    A No-Code Annotation platform for Image-Synthetic Generation Tasks

    Python 1

  2. Manifold-representations Manifold-representations Public

    Jupyter Notebook

  3. Mechanistic-Qwen Mechanistic-Qwen Public

    A KL-div + Token-level Analysis of Qwen and DeepSeek model for Reasoning

    Jupyter Notebook

  4. optax optax Public

    Forked from google-deepmind/optax

    Optax is a gradient processing and optimization library for JAX.

    Python