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Name: StARLinG Lab
Type: Organization
Bio: We are an AI Lab interested in making smart machines that humans can use reliably in their lives. Directed by Professor Sriraam Natarajan.
Location: UTD 4.613
Name: StARLinG Lab
Type: Organization
Bio: We are an AI Lab interested in making smart machines that humans can use reliably in their lives. Directed by Professor Sriraam Natarajan.
Location: UTD 4.613
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
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
ExSPN: Explaining Sum-Product Networks
Guided One-shot Concept Induction
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.
Knowledge-Intensive learning of Cutset Networks
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.
Materials for Probabilistic Deep Generative Models Workshop held at IIT Madras, July 3-5 2024.
Code repository for the work Relational Boosted Bandits, AAAI'21
An implementation of the paper Kokel et al. ICAPS 2021, RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.
TensorFlow implementation of "Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach"
Development repository for the STARLinG Lab's webpage. Built wtih Jekyll, jQuery, and the minimal-mistakes Jekyll theme.
The interface lets experts annotate textual data to help a model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.