reaserch

Machine Learning papers with code, data and models

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Python backtesting engine built on NautilusTrader for end-to-end quant research: market data ingestion/validation, microstructure calibration, single-asset and stat-arb strategy creation, walk-forward optimization, analytics, portfolio-of-strategies backtesting, and portfolio weight optimization.

PaperEasy = arXiv + code + video + tutorial + Colab/demo

Tool for Asteroid observation and analysis

Problem classess I Project — exploring and comparing metrics like Q-score, Wasserstein, and TVD for validating ligands.

Biney's Procedural Compression - A research proposal exploring lossless compression as a search problem: finding the smallest procedural description (algorithm + seed) that reconstructs the original data exactly.

Indian Adult Height Research: Analysis of Trends, Determinants, and Socioeconomic Disparities

Django-based equipment booking system for research core facilities

Default Community Health Files for the Verité Research organization on GitHub

Данный репозиторий содержит обзор моей проектной деятельности и опыта работы в рассматриваемой специальности

Simple python script for pulling papers from the CORE database in APA 7 format.

👤 Engineering profile of Nishan Paul, Founder of KAI. Specialized in Agentic AI, Cybersecurity, and DevOps. Architecting autonomous multi-agent systems, for cyber-defense orchestration and high-performance full-stack applications. This repository centralizes live engineering metrics, portfolio projects, and technical research.

Iurgenson, Nika, et al. "Feasibility study of multisensor systems for the assessment of water pollution index induced by heavy metal contamination." Microchemical Journal 197 (2024): 109762.

📊 Research-driven NLP pipeline for labor-market analysis, using sentence embeddings, clustering, and taxonomy alignment with O*NET / SOC codes.

How does webpack handle tree shaking