MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics

Quantum machine learning (QML) Core Fortran Functions

Speeding up quantum dissipative dynamics of open systems with kernel methods

Data science Mini projects

Search & KRR & Planning

Implementing ALC Tableau. For an ALC KB and a query given in Negation Normal Form pre-generated, using ALC Tableau to determine whether the query is entailed by the KB.

GraphQL API that combines several REST APIs we often use. Also adds extra functions to some of them.

A proof-of-concept type demo of the Binary Encoded SMARTS Pattern Enumeration + Molecular aCCess System molecular descriptor developed as part of Bachelor's Thesis: "Feature engineering for machine learning predictions in atmospheric science." Includes a toy data set for demonstrative purposes.

Murder Mystery Mansion classic mystery game developed using PDDL planning language.

We were provided with a project in Knowledge Representation and Reasoning (KRR) and we have to apply rdf, sparql and make ontology

DST approach on Recommended Systems(RS).