MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics
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Updated
Jun 19, 2024 - Jupyter Notebook
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
Search & KRR & Planning
Data science Mini projects
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.
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: "Molecular descriptor 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).
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