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