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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLOAchievement: Pair Extraordinaire

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rajeshgangireddy/README.md

Hi there hello.

I'm Rajesh 🌱

I'm a deep learning and embedded systems enthusiast with a focus on AI reliability, efficient on-device computing, and computer vision. My experience spans developing vision models using less data, deploying AI on mobile devices, and building robust computer vision systems.

What I Do/Did

  • AI Research: Specializing in out-of-distribution detection, incremental (active) learning, and enhancing AI reliability.
  • On-Device AI: Optimizing neural networks for mobile platforms to achieve faster and smaller models.
  • Embedded Systems: Developing hardware and code for humanitarian robots.

Stack

  • Languages: Python, MATLAB, VHDL.
  • Machine Learning Frameworks: PyTorch.

Popular repositories Loading

  1. movie-theare-management movie-theare-management Public

    its a project report for theatre management project done in c++ language without graphics.h It has welcome screen followed by a login session. There are two login modes- User and admin, A user can …

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    Forked from neuralmagic/sparseml

    Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

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  3. OLTR OLTR Public

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    Fork of "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

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  4. domain_similarity domain_similarity Public

    Forked from richardaecn/cvpr18-inaturalist-transfer

    Forked from Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

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  5. stable-diffusion stable-diffusion Public

    Forked from CompVis/stable-diffusion

    Fork of A latent text-to-image diffusion model

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  6. geti-sdk geti-sdk Public

    Forked from openvinotoolkit/geti-sdk

    Branch - Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.

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