Created Documentation Index and Project Handbook (markdown)
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Created Experiment Tracking and Reproducibility (markdown)
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Created Model Deployment and Inference (markdown)
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Created Custom Modules and Layers (markdown)
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Created Advanced-Tutorials (markdown)
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Created Numerical Accuracy and Validation (markdown)
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Created Benchmarking Guide (markdown)
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Created Best Practices (markdown)
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Created Troubleshooting Guide (markdown)
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Created Development Roadmap (markdown)
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Created Acknowledgements (markdown)
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Created Community Guidelines (markdown)
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Created Glossary (markdown)
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Created Frequently Asked Questions (FAQ) (markdown)
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Created Support and Troubleshooting (markdown)
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Created Roadmap (markdown)
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Created Project Governance (markdown)
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Created Security Policy (markdown)
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Created Release Process (markdown)
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Created Pull Request Guidelines (markdown)
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Created Coding Standards (markdown)
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Created Contributing (markdown)
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Created Development Setup (markdown)
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Created Testing and Quality Assurance (markdown)
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Created Performance Optimization (markdown)
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Created Model Serialization (markdown)
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Created Data Pipeline (markdown)
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Created Model Training (markdown)
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Prepared Page 12 with ten hands-on tutorials covering tensor creation, numerical operations, matrix multiplication, automatic differentiation, neural network construction, loss functions, regression training, Adam optimization, evaluation, and inference.
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Prepared the API Reference documentation using verified public exports from the EveryO repository. The guide covers tensor APIs, mathematical operations, autograd, neural network modules, optimizers, datasets, training utilities, backends, mixed precision, serialization, ONNX, quantization, profiling, configuration, and exception handling.
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