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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.

Popular repositories

  1. BoostSRL Public

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

    Java 31 21

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

    HTML 7 17

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

    Python 3 1

  4. Forked from harshakokel/DeepRePReL

    Python 3

  5. This repository contains code base for the slim version of BoostSRL. Performance wise, they are the same, but differs in the volume of redundant code removed in this slim version

    Java 1 2

  6. 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 1 2

Repositories

  • starling.utdallas.edu Public

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

    HTML 7 CC-BY-4.0 17 1 0 Updated Sep 23, 2022
  • ExSPN-SPFlow Public

    ExSPN: Explaining Sum-Product Networks

    Jupyter Notebook 0 GPL-3.0 1 0 0 Updated Sep 23, 2022
  • RePReL Public

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

    Python 0 4 0 0 Updated Jul 17, 2022
  • Python 3 MIT 1 0 0 Updated May 26, 2022
  • Relational-Boosted-Bandits Public

    Code repository for the work Relational Boosted Bandits, AAAI'21

    Python 1 3 0 0 Updated Apr 5, 2021
  • KiGB Public

    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.

    Python 1 4 0 0 Updated Mar 30, 2021
  • BoostSRL Public

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

    Java 31 GPL-3.0 21 20 0 Updated Jan 30, 2020
  • Python 0 1 0 0 Updated Nov 12, 2019
  • BoostSRL-Lite Public

    This repository contains code base for the slim version of BoostSRL. Performance wise, they are the same, but differs in the volume of redundant code removed in this slim version

    Java 1 GPL-3.0 2 0 0 Updated Aug 2, 2019
  • MLNBoostDB Public

    Learning Boosted MLN with in-memory Relational Database integration (Malec et al. ILP 2016). This is an extension where wrapper ensures same command line argument structure as MLN-Boost. Most arguments are same as the original MLN-Boost(Khot et al. ICDM 2011) platform. Few that are different have been stated below.

    Java 0 GPL-3.0 2 0 0 Updated Sep 7, 2018

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