Code examples, implementations, and demonstrations across AI/ML/DL technologies.
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Practical code examples and implementations demonstrating AI/ML/DL concepts, frameworks, and tools.
- 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
- Apache Zeppelin - Apache Zeppelin notebook examples and Docker setup
- JuPyteR - Jupyter notebooks with Java kernel support
- Data Examples - Data processing, databases, and feature engineering examples
- Graph databases (Grakn)
- Dataiku DSS
- Feature importance filtering
- Cloud DevOps Infra - Cloud deployment examples
- Valohai (MLPMnist, NLP-CUDA)
- Weights & Biases integration
- Python Examples - Python framework examples
- Streamlit applications
- Notebooks - Interactive notebooks and kernels
- Data - Data resources and tools
- Tools - Development tools and frameworks
- Presentations - Related presentations and talks
Contributions are very welcome! Please share examples that demonstrate AI/ML/DL concepts and best practices.
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