Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

A Python CLI tool to scan, detect, and plot stock chart patterns

Hastic data management server for analyzing patterns and anomalies from Grafana

Computer vision based program for pattern recognition in chromosome (Hi-C) contact maps

An MCP for AI Agents that detects your team coding conventions and patterns, brings in persistent memory, edit preflight checks, and hybrid search with evidence scoring. Exposed through CLI and MCP server.

Claude Code + Obsidian: Log sessions to daily notes, analyze patterns, build automations. A feedback loop that learns how you work.

ModelFLOWs application

Stop AI coding disasters before they cost you weeks. Real-time anti-pattern detection for vibe coders who love AI tools but need a safety net to avoid expensive overengineering traps.

SpikeShip: A method for fast, unsupervised discovery of high-dimensional neural spiking patterns.

Hastic python core for processing machine learning tasks. Could be used separately.

PhD research validating LLM understanding of market microstructure through obfuscation testing. Novel methodology proves LLMs detect dealer hedging constraints without temporal context. P#1: 71.5% detection, 91.2% accuracy

Real time chart pattern detection library

Adaptive Template Model of Intelligence

An analysis of the behavior of fishing vessels in order to detect patterns and outliers/anomalies.

Analyzes C# codebases to detect patterns and generate context for AI tools

Unidimensional Cellular Automata Explorer managing _arbitrary rules_

Binary image matrix and applies a series of custom corner and edge detection kernels to identify specific patterns in the image.

Pattern recognition in an electrical signal.

Detect and eliminate AI writing patterns in your content. This Claude Code plugin performs multi-tier analysis of character patterns, language cues, structural issues, and voice authenticity. Auto-fix em dashes, smart quotes, and emojis. Keep documentation and prose sounding genuinely human.