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@starling-lab

StARLinG Lab

We are an AI Lab interested in making smart machines that humans can use reliably in their lives. Directed by Professor Sriraam Natarajan.

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  1. BoostSRL BoostSRL Public

    BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

    Java 32 21

  2. starling.utdallas.edu starling.utdallas.edu Public

    Development repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.

    HTML 12 17

  3. DeepRePReL DeepRePReL Public

    Forked from harshakokel/DeepRePReL

    Python 4

  4. RRBM-Tensorflow RRBM-Tensorflow Public

    TensorFlow implementation of "Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach"

    Python 3 1

  5. KiGB KiGB Public

    Forked from harshakokel/KiGB

    Knowledge-intensive Gradient Boosting: A unified framework for learning gradient boosted decision trees for regression and classification tasks while leveraging human advice for achieving better pe…

    Python 2 2

  6. PDGM-Workshop-IITM-2024 PDGM-Workshop-IITM-2024 Public

    Materials for Probabilistic Deep Generative Models Workshop held at IIT Madras, July 3-5 2024.

    Jupyter Notebook 2

Repositories

Showing 10 of 17 repositories
  • PDGM-Workshop-IITM-2024 Public

    Materials for Probabilistic Deep Generative Models Workshop held at IIT Madras, July 3-5 2024.

    starling-lab/PDGM-Workshop-IITM-2024’s past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated Jul 17, 2024
  • starling.utdallas.edu Public

    Development repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.

    starling-lab/starling.utdallas.edu’s past year of commit activity
    HTML 12 CC-BY-4.0 17 1 2 Updated Sep 15, 2023
  • BoostSRL Public

    BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

    starling-lab/BoostSRL’s past year of commit activity
    Java 32 GPL-3.0 21 20 0 Updated Sep 11, 2023
  • PI_GBM Public
    starling-lab/PI_GBM’s past year of commit activity
    Python 0 0 0 0 Updated Sep 8, 2023
  • TPM-Workshop-2023 Public
    starling-lab/TPM-Workshop-2023’s past year of commit activity
    1 0 0 0 Updated May 1, 2023
  • KIL-CN Public Forked from saurabhmathur96/KIL-CN

    Knowledge-Intensive learning of Cutset Networks

    starling-lab/KIL-CN’s past year of commit activity
    Python 0 GPL-3.0 1 0 0 Updated Apr 26, 2023
  • KiGB Public Forked from harshakokel/KiGB

    Knowledge-intensive Gradient Boosting: A unified framework for learning gradient boosted decision trees for regression and classification tasks while leveraging human advice for achieving better performance.

    starling-lab/KiGB’s past year of commit activity
    Python 2 GPL-3.0 4 0 0 Updated Oct 11, 2022
  • ExSPN-SPFlow Public Forked from saurabhmathur96/ExSPN-SPFlow

    ExSPN: Explaining Sum-Product Networks

    starling-lab/ExSPN-SPFlow’s past year of commit activity
    Jupyter Notebook 0 GPL-3.0 1 0 0 Updated Sep 23, 2022
  • RePReL Public Forked from harshakokel/RePReL

    An implementation of the paper Kokel et al. ICAPS 2021, RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.

    starling-lab/RePReL’s past year of commit activity
    Python 1 4 0 0 Updated Jul 17, 2022
  • DeepRePReL Public Forked from harshakokel/DeepRePReL
    starling-lab/DeepRePReL’s past year of commit activity
    Python 4 MIT 1 0 0 Updated May 26, 2022
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