Rank images using TrueSkill by comparing them against each other in the browser. 🖼📊

Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.

Django-google-optimize is a Django application designed to make running server side Google Optimize A/B tests easy.

Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

A self-improving harness router for Claude Code.

Predict how the human brain reacts to any content. CLI + Python API powered by Meta TRIBE v2. Score video, audio, or text for neural engagement. No scanner needed.

Production-grade A/B testing framework with Bayesian analysis, sequential testing, and causal validation

This is the fourth project in my data analyst nanodegree , it convers the pactical statistics skills such as : A/B testing and regression

Basic A/B Testing analysis with Python (Shapiro, Levene, T-Test)

This project simulates a real-world marketing experiment where machine learning is used to personalize call-to-action (CTA) messages and A/B testing is conducted to validate the effectiveness of the personalization.

Systematic parameter sweep and A/B testing nodes for ComfyUI. Define ranges or lists of values for any node widget and automatically generate every combination with labeled comparison grids. Unlock controlled experimentation for AI image generation workflows.

Real-time price recommendation engine with demand forecasting and A/B test infrastructure

Online Causal Machine Learning in Python — one observation at a time

Event-driven feature flag API with deterministic rollouts, machine learning-assisted decisions, and safe fallback behavior.

A lightweight Python package for frequentist and Bayesian A/B testing of proportions.

Adaptive anti-bot fingerprint engine: probe → ML drift detection → A/B test patches → push to scrapers (Cloudflare/DataDome research)

Autonomous prompt management with versioning, A/B experiments, metrics, and LLM-driven optimization. Built on agno.

Built an end-to-end Business Intelligence pipeline for 25 Indian and US stocks, transforming raw market data into interactive Power BI dashboards with DAX-driven KPIs, volatility metrics, and correlation analysis for investment trend exploration.

Production MLOps platform with 4 ML models (demand forecasting, fraud detection, recommendation, ticket classification), A/B testing, drift detection, FastAPI serving, Docker, and Terraform infrastructure.

A production-grade feature flag monitoring system with ML-powered predictions and anomaly detection