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Ununennium Documentation

Welcome to the Ununennium documentation. This comprehensive guide covers all aspects of the library, from installation to advanced model deployment.

Documentation Map

graph TB
    subgraph "Getting Started"
        QS[Quickstart Tutorial]
        INST[Installation]
    end

    subgraph "Core Concepts"
        ARCH[Architecture]
        DM[Data Model]
        PIPE[Pipelines]
    end

    subgraph "API Reference"
        CORE[Core API]
        IO[Data I/O]
        MODELS[Models]
        TRAIN[Training]
    end

    subgraph "Tutorials"
        T1[Ingest & Tiling]
        T2[Train/Val/Test]
        T3[Inference at Scale]
        T4[Change Detection]
        T5[Super-Resolution]
        T6[GAN Recipes]
        T7[PINN Recipes]
    end

    subgraph "Advanced Topics"
        GUIDES[Guides]
        RESEARCH[Research]
    end

    QS --> ARCH
    ARCH --> API
    API --> Tutorials
    Tutorials --> GUIDES

Quick Navigation

Section Description Audience
Architecture System design and data flow All users
API Reference Complete API documentation Developers
Tutorials Step-by-step learning paths New users
Guides Best practices and deep dives Intermediate
Research Mathematical foundations Researchers

Architecture

Understand the design and components of Ununennium.

API Reference

Detailed documentation for every public class and function.

Tutorials

Step-by-step guides from beginner to advanced.

Tutorial Duration Description
00. Quickstart 15 min Zero to trained model
01. Ingest and Tiling 30 min Data preparation
02. Train/Val/Test 45 min Proper experimental design
03. Inference at Scale 30 min Production deployment
04. Change Detection 45 min Multi-temporal analysis
05. Super-Resolution 45 min Resolution enhancement
06. GAN Recipes 60 min Image translation
07. PINN Recipes 60 min Physics-constrained learning

Guides

Best practices and detailed topic coverage.

Research

Mathematical and theoretical foundations.

Getting Help