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starling.utdallas.edu
PublicDevelopment repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.PDGM-Workshop-IITM-2024
PublicBoostSRL
PublicBoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.PI_GBM
PublicTPM-Workshop-2023
PublicKIL-CN
PublicKiGB
PublicExSPN-SPFlow
PublicRePReL
PublicDeepRePReL
PublicJA-Walk-ER
PublicGOCI
PublicBoostSRL-Lite
PublicMLNBoostDB
PublicLearning 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.RRBM-Tensorflow
PublicTensorFlow implementation of "Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach"