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Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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ShaktidharK1997/README.md

MS CS NYU Candidate. Passionate about Machine Learning systems and Databases.

Currently spending my time learning MCP Framework, Feast and Recommendation Models!

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  1. feast-dev/feast feast-dev/feast Public

    The Open Source Feature Store for AI/ML

    Python 6.3k 1.2k

  2. teaching-on-testbeds/eval-loop-chi teaching-on-testbeds/eval-loop-chi Public

    Practice evaluating a machine learning system by closing the feedback loop.

    Jupyter Notebook 1

  3. resource-tracker resource-tracker Public

    Resource Tracker is a system designed to monitor, track, and manage OpenStack resources in Chameleon Cloud environments.

    Python 1

  4. ShaktiKV ShaktiKV Public

    Simple KV Store using Django, Redis and Celery

    Python

  5. feast-artifact feast-artifact Public

    Feast Feature Store demonstration artifact for managing ML features for a flight delay prediction system

    Jupyter Notebook

  6. CSGY-9223 CSGY-9223 Public

    Repository holding all the assignments for Cloud Computing course

    JavaScript