ai-lab

Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.

Swift port of Gliner2 framework

Fast-dLLM inference engine on mlx

SRMIST Kattankulathur Artificial Intelligence-18CSC305J lab exercises implemented in python

Codebase for Project ECHO: Video Transcription and Annotation Pipeline

AI lab implementations covering informed and uninformed search algorithms with classic problem-solving examples in PythonAI Repository

Principles Of AI Lab Exercises

Solving real world problems with AI. Done under Lab of Artificial Intelligence in 2022-2023

Personal AI engineering lab on a Linux VPS, Docker and agentic AI, published as I go.

Local-first AI research lab blueprint — clone, pick a tier (Minimalist / Maximus), and run experiments. Ships ai-eng (3B Opus-4.7-derived) by default. Airgapped by default, cloud-capable by choice.

Foo-Voodoo on All Things AI @dev2deploy

Obedience Corp Website

PROJECT 01: SEARCH - Suggest or implement learned algorithms to assist Pac-Man in finding food without getting killed by monsters

AI lab building Financial Crime, AML and Compliance solutions using RAG, Agentic AI, MCP and automation.

PROJECT 02: LOGIC - The purpose of this project is to design and implement a logical search agent for a partially observable environment. This will be accomplished by implementing an agent that navigates through the Wumpus World.

🧪 Hands-on AI-powered digital forensics lab. Analyze evidence, detect anomalies, and simulate real-world cyber investigations using machine learning, automation & forensic workflows. Built for DFIR learning, experimentation, and research.

Tactical AI tools for modern workflows.

Ineffable Intelligence is an AI research lab founded by David Silver aiming to make "first contact with superintelligence." The company is building a "superlearner" that discovers knowledge from its own experience using reinforcement learning, without relying on human data, with the goal of rediscovering and transcending human inventions such as…

In prolog, We declare some facts. These facts constitute the Knowledge Base of the system. We can query against the Knowledge Base. We get output as affirmative if our query is already in the knowledge Base or it is implied by Knowledge Base, otherwise we get output as negative.

atomeons.com · public source for the AtomEons Systems Laboratory site · Marco Island, FL · 319 routes, 31 papers, 3 free products, 1 book by Opus 4.7