krr

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

Speeding up quantum dissipative dynamics of open systems with kernel methods

Search & KRR & Planning

Simple KRR dashboard

Helm chart for Simple KRR Dashboard

Turn Kubernetes resource right-sizing recommendations into auto-merged GitOps PRs — across raw manifests, Helm values, and operator CRs.

Data science Mini projects

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: "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.

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.

Knowledge Representation & Reasoning via AIML, Pytholog, and Neo4j Graph DB

DST approach on Recommended Systems(RS).

This program generates modifications to recipes based on user allergies and preferences using knowledge representation and reasoning (KRR) AI.

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

Robot path planning over OWLReady2: backward/forward chaining, circumscribed BrokenDoor anomalies, non‑monotonic reasoning, Graphviz visuals and replanning.

Ontology-driven KRR system for explainable mental health risk awareness. Uses OWL, RDF, SWRL, and SPARQL to reason over emotions and symptoms extracted from text and generate transparent causal “why” explanations for inferred risk patterns.