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@acdmammoths

Amherst College Data* Mammoths

The Amherst College Data* Mammoths Learning & Research Group, led by Prof. Matteo Riondato
README.md

Amherst College Data* Mammoths

A learning and research group at Amherst College, led by Matteo Riondato, working on everything data-related.

Please see our home page for an introduction to the group.

Pinned

  1. SPEck-code SPEck-code Public

    Code for the paper "SPEck: Mining Statistically-significant Sequential Patterns Efficiently with Exact Sampling", by Steedman Jenkins, Stefan Walzer-Goldfeld, and Matteo Riondato, appearing in the …

    Java 1 1

  2. alice alice Public

    MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.

    Jupyter Notebook 1

  3. Bavarian-code Bavarian-code Public

    Code for the paper "Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages", by Chloe Wohlgemuth, Cyrus Cousins, and Matteo Riondato, appearing in ACM KDD'21 and ACM…

    C++ 1

  4. parallelcubesampling parallelcubesampling Public

    Implementations of the parallel and sequential cube sampling algorithms presented in the paper "A Scalable Parallel Algorithm for Balanced Sampling" (Alexander Lee, Stefan Walzer-Goldfeld, Shukry Z…

    Python 2 1

  5. accsthesis accsthesis Public

    Amherst College Computer Science Honors Thesis LaTeX template

    TeX

  6. ROhAN-code ROhAN-code Public

    ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery

    Java 1

Repositories

Showing 10 of 10 repositories
  • acdmammoths.github.io Public

    Website for the Amherst College Data* Mammoths Research and Learning Group

    SCSS 0 Apache-2.0 0 0 0 Updated May 29, 2024
  • ROhAN-code Public

    ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery

    Java 0 GPL-3.0 1 0 0 Updated Apr 9, 2024
  • alice Public

    MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.

    Jupyter Notebook 1 GPL-3.0 0 0 0 Updated May 15, 2023
  • Bavarian-code Public

    Code for the paper "Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages", by Chloe Wohlgemuth, Cyrus Cousins, and Matteo Riondato, appearing in ACM KDD'21 and ACM TKDD'23

    C++ 0 Apache-2.0 1 0 0 Updated Mar 7, 2023
  • SPEck-code Public

    Code for the paper "SPEck: Mining Statistically-significant Sequential Patterns Efficiently with Exact Sampling", by Steedman Jenkins, Stefan Walzer-Goldfeld, and Matteo Riondato, appearing in the Data Mining and Knowledge Discovery Special Issue for ECML PKDD'22.

    Java 1 GPL-3.0 1 0 0 Updated Dec 6, 2022
  • accsthesis Public

    Amherst College Computer Science Honors Thesis LaTeX template

    TeX 0 Apache-2.0 0 0 0 Updated Nov 11, 2022
  • datasetgenerator Public

    A porting to modern g++ and C+11 of the IBM Quest dataset generator

    C 2 Apache-2.0 4 1 0 Updated Mar 7, 2022
  • parallelcubesampling Public

    Implementations of the parallel and sequential cube sampling algorithms presented in the paper "A Scalable Parallel Algorithm for Balanced Sampling" (Alexander Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato, AAAI'22 Student Abstract).

    Python 2 Apache-2.0 1 0 0 Updated Nov 18, 2021
  • .github Public

    Special repo.

    0 Apache-2.0 0 0 0 Updated Sep 21, 2021
  • Intellij-Hadoop Public Forked from autopear/Intellij-Hadoop

    Run Hadoop program using Intellij

    Java 0 21 0 0 Updated Apr 13, 2021

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