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@CornellDataScience

Cornell Data Science

A Cornell project team that gives students hands-on experience with data analytics and machine learning.

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  1. DataEngineering DataEngineering Public

    The Data Engineering subteam of Cornell Data Science

    XSLT 7 9

  2. IntelligentSystems IntelligentSystems Public

    The Intelligent Systems Subteam of Cornell Data Science

    TeX 7

  3. Insights Insights Public

    The Insights Subteam of Cornell Data Science

    Jupyter Notebook

  4. NLP_Research-SP18 NLP_Research-SP18 Public

    Cornell Data Science: NLP Research Project

    5 1

  5. Education Education Public

    The Education subteam of Cornell Data Science

    6 1

Repositories

Showing 10 of 133 repositories
  • info1998 Public
    CornellDataScience/info1998's past year of commit activity
    Jupyter Notebook 4 3 0 0 Updated Sep 2, 2026
  • image-watermarking Public
    CornellDataScience/image-watermarking's past year of commit activity
    Python 0 3 0 0 Updated Aug 28, 2026
  • geometry-dash-rl Public
    CornellDataScience/geometry-dash-rl's past year of commit activity
    Python 0 1 0 0 Updated Jul 30, 2026
  • compilAR Public
    CornellDataScience/compilAR's past year of commit activity
    Cuda 2 1 0 0 Updated May 28, 2026
  • computecluster Public

    CDS Compute Cluster

    CornellDataScience/computecluster's past year of commit activity
    C++ 2 0 0 0 Updated May 28, 2026
  • adaptive-cache Public

    This project designs, implements, and rigorously evaluates a learned cache eviction policy within a custom-built cache system, benchmarking its performance against traditional heuristics across diverse workload patterns.

    CornellDataScience/adaptive-cache's past year of commit activity
    Rust 4 0 0 0 Updated May 13, 2026
  • distributed-downloader Public

    LAN-first peer-to-peer distributed downloader for game/software installs and updates

    CornellDataScience/distributed-downloader's past year of commit activity
    Java 3 0 0 0 Updated May 9, 2026
  • world-wide-web-2 Public

    World Wide Web 2 teaches an AI to browse the web by training it inside a learned simulator instead of a real browser. This makes training much faster and lets the agent learn from far more practice without needing live websites.

    CornellDataScience/world-wide-web-2's past year of commit activity
    Python 0 0 0 0 Updated May 8, 2026
  • quantization-on-edge Public

    Python ONNX implementation of quantization techniques on machine learning models deployed to a Jetson Nano edge device.

    CornellDataScience/quantization-on-edge's past year of commit activity
    Python 2 0 0 0 Updated Apr 8, 2026
  • world-wide-web Public
    CornellDataScience/world-wide-web's past year of commit activity
    Python 0 1 0 0 Updated Apr 8, 2026
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