Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables
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Updated
May 18, 2025 - Python
Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables
String Comparision in C#.NET
An R script that uses MACCS166 chemical fingerprint and calculates Jaccard Index/Tanimoto Coefficient for a list of Aspartate Racemase Ligands
A search engine written in Python and a simple classifier. University project for the course "Natural Language Processing". Course Code: CEID_NE5657
Python scripts combining Qiskit & RDKit for quantum-enhanced molecular similarity analysis. Includes Tanimoto similarity encoding, noise simulations, and IBM Quantum integration for drug discovery research.
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