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🔬 Examples

Code examples, implementations, and demonstrations across AI/ML/DL technologies.

Home · 📓 Notebooks · 📊 Data · 🧠 NLP · 🧰 Tools

At a glance

Practical code examples and implementations demonstrating AI/ML/DL concepts, frameworks, and tools.

Examples by Category

Java/JVM Libraries & Frameworks

  • Better NLP - Natural Language Processing library with examples and Docker setup
  • DeepNetts - Deep learning framework examples
  • Ensembler - Ensemble learning examples
  • Tribuo - Machine learning library examples
  • NLP Java/JVM - Java-based NLP examples

Notebook & Development Environments

  • Apache Zeppelin - Apache Zeppelin notebook examples and Docker setup
  • JuPyteR - Jupyter notebooks with Java kernel support

Data & Infrastructure

  • Data Examples - Data processing, databases, and feature engineering examples
    • Graph databases (Grakn)
    • Dataiku DSS
    • Feature importance filtering

Cloud & Deployment

  • Cloud DevOps Infra - Cloud deployment examples
    • Valohai (MLPMnist, NLP-CUDA)
    • Weights & Biases integration

Python

Related

  • Notebooks - Interactive notebooks and kernels
  • Data - Data resources and tools
  • Tools - Development tools and frameworks
  • Presentations - Related presentations and talks

Contributing

Contributions are very welcome! Please share examples that demonstrate AI/ML/DL concepts and best practices.

Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.

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