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  1. sruvian.github.io sruvian.github.io Public

    World Models & Causal AI Research

    HTML

  2. nanograd nanograd Public

    nanograd is a minimal deep learning framework implementing reverse-mode automatic differentiation and neural network layers from scratch in Python.

    Python

  3. research-notes research-notes Public

    Research proposals, experiment designs, and mathematical writeups for ongoing ML research. Current focus: world models, latent space structure, and causal representation learning.

    TeX

  4. world-models-exp0 world-models-exp0 Public

    Investigating whether neural world models trained on pendulum dynamics spontaneously encode angular dynamics in separable latent subspaces, and whether those representations transfer to CartPole. I…

    Python