explainable-ai

Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..

...short biography

AI‑powered web exam system with face recognition, webcam, browser, and audio checks ensures integrity in remote assessments. Flask prototype reached ~72% functional accuracy and 90%+ detection rates, reducing cheating in online education.

Official implementation of the paper The Hidden Language of Diffusion Models

Time series explainability via self-supervised model behavior consistency

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

Explain Jenkins job failures with AI

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.

Context Runtime — a database query planner for LLM context. Decides what a model sees before it answers; plans it, runs it through reused substrate, and learns from the outcome.

The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client with adaptive tool learning and MCP server.

This repo shows how to classify crack images and discuss the result with grad-cam