Calgary, Canada

Micheal Lanham

Elite
@cxbxmxcx

Micheal Lanham is a tech author and written books on XR, audio design, deep learning, reinforcement learning, genetic algorithms, AI Agents, and AI filmmaking.

GPT-Agents. Repository for the book GPT-Agents, published by Manning Publications

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Nexus. AI Agent Nexus is an open-source platform for developing, testing, and hosting AI Agents, built with Streamlit and Gradio. It offers a user-friendly chat interface and focuses on teaching core concepts of building full-featured AI agents. The platform supports multipl AI Agent and assistant patters, and complements the book "AI Agents In Action."

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GPTAssistantsPlayground. Python

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EvolutionaryDeepLearning. Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham

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AI-Agent-Workflows. This repository is for the book - Build a Deep Research Agent from Scratch (working title)

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TensorFlow_Certification. Repository for resources having to do with TensorFlow 2.0 Certification

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Practical_AI_on_GCP. Jupyter Notebook

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PAIGCP. Course content for Practical AI on the Google Cloud Platform

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GenReality. Repository for book Generating Reality source colabs.

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Agentic-Behavior-Trees. Agentic Behavior Trees

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PracticalReiforcementLearning_Unity. A Practical Reinforcement Learning Framework for Unity

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CalgaryDeepLearning. Source code and presentations for the Calgary Deep Learning

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GPT-Nexus. GPT Nexus is a project dedicated to crafting and consuming Agents powered by large language models.

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commercial-creator. Agentic AI commercial pipeline: product description in, finished video ad out. Claude agents plan + QC, Seedance 2.0 generates, ElevenLabs voices and scores. FastAPI + web UI + MCP connector for Claude Code.

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openai-agents-python. A lightweight, powerful framework for multi-agent workflows

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EatNoEat. Code for building the Eat/No Eat AI

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PracticalRL. Repository for Python examples of Practical Reinforcement Learning

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AugmentedRealityGameDevelopment. Source code for the book Augmented Reality Game Development by Micheal Lanham

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InstinctualLearning. C#

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Agents-microservices. HTML

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DeepLearningBeginnings. Jupyter Notebook

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MI-Agents. MI-Agents: Your intelligent agent ecosystem for orchestrating complex AI workflows and building agentic systems.

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metacognition-gap-function. Python

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self-improving-agents. Framework and code for the book Self-Improving Agents

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