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Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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kushalvyas/README.md

Hi, I'm Kushal👋

I'm a AI researcher and PhD student at Rice University working on scalable machine learning methods for large signals. I recently developed a PyTorch library for implicit neural representations named Alpine.

Previously, I was a senior ML researcher at Samsung Research America (SRA), Mountain View, CA where I was part of the wonderful multidisciplinary Think Tank Team. Before that, I completed my was pursing my masters at the Robotics Institute at Carngie Mellon University studying Computer Vision (MSCV).

Research interests:

  • Neural Representations
  • Large-scale solvers, scalable machine learning
  • Representation learning
  • Domain Specific Languages(DSL) and compilers

I program in Python, C++, and sometimes typescript.

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  1. alpine alpine Public

    Alpine - A PyTorch Library for Implicit Neural Representations

    Python 15 2

  2. Fit-Pixels-Get-Labels_MetaSeg Fit-Pixels-Get-Labels_MetaSeg Public

    Repository for Fit Pixels, Get Labels: Meta learned implicit networks for medical image segmentation (MICCAI'25 ORAL)

    Python 21 2

  3. kushalvyas.github.io kushalvyas.github.io Public

    HTML

  4. STRAINER-INR STRAINER-INR Public

    Codebase for Learning Transferable Features for Implicit Neural Representations (NeurIPS'24)

    3

  5. Bag-of-Visual-Words-Python Bag-of-Visual-Words-Python Public archive

    Implementing Bag of Visual words approach for object classification and detection

    Python 129 65

  6. Python-Multiple-Image-Stitching Python-Multiple-Image-Stitching Public

    Implementation of multiple image stitching

    Python 659 201