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kartiksrinivas007/README.md

Hi there 👋

  • 🏫 I am a Master's student in the Machine Learning Department, Carnegie Mellon University
  • 💻 My research interest is broadly Theoretical Machine Learning, presently I am studying Optimization.
  • Reach me at kartiksr [at] cs.cmu.edu

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  1. DESA-ICML24 DESA-ICML24 Public

    Forked from ubc-tea/DESA

    The official implementation of our paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors" accepted at ICML 2024

  2. NABLA-Automatic-differentiation NABLA-Automatic-differentiation Public

    An automatic differentiation Engine developed by my team and myself.

    C++

  3. Convex-Optimization Convex-Optimization Public

    Convex Optimization Course at IITH , Spring 2022 Semester.

    Jupyter Notebook 1

  4. AI500-Deep-Learning AI500-Deep-Learning Public

    Deep Learning Spring 2023 Semester, IITH

    Jupyter Notebook 1

  5. CS6070-Tensors CS6070-Tensors Public

    Tensor Analysis course - CS6070, Spring 2023 at IITH

    Jupyter Notebook

  6. AI1104 AI1104 Public

    Latent Visualizations of Deep Generative Models

    Jupyter Notebook