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rajeshgangireddy/README.md

Hi there hello.

I'm Rajesh 🌱

What I Do/Did

  • Digital Biology : Getting started with digital biology (Protein structure prediction,protein/binder/antibody design,etc). Mostly adding XPU support and researching for new methods. https://github.com/rajeshgangireddy/awesome-digital-biology
  • AI Research: Out-of-distribution detection, Anomaly Detection, incremental (active) learning, and enhancing AI reliability. https://github.com/open-edge-platform/anomalib
  • On-Device AI: Optimizing neural networks for mobile platforms to achieve faster and smaller models.
  • Embedded Systems: Developing hardware and code for humanitarian robots.
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  1. awesome-digital-biology awesome-digital-biology Public

    A curated, actively-updated list of AI/deep-learning papers, libraries, etc for digital biology: protein folding, binder & antibody design, molecular generation, genomics & single-cell foundation m…

    Python 6

  2. anomalib anomalib Public

    Forked from open-edge-platform/anomalib

    An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

    Python

  3. boltzgen boltzgen Public

    Forked from HannesStark/boltzgen

    BoltzGen: Toward Universal Binder Design

    Python 1

  4. geti-instant-learn geti-instant-learn Public

    Forked from open-edge-platform/geti-instant-learn

    A modular framework for few-shot visual segmentation using visual prompting techniques. Enables easy experimentation with different algorithms, backbones (SAM, MobileSAM, DinoV2), and pipeline com…

    Python