Documentation — Your Guide to Explainable, Actionable AI
The Xpdeep Documentation Hub gives you everything you need to start building, explaining, and certifying deep-learning models with our framework. From API references to compliance templates, it's designed for teams that want to deploy trustworthy AI efficiently and safely.
Documentation Hub Visual
Developer desk with API flowchart glowing in Xpdeep blue
Developer Documentation
For AI engineers and data scientists
- •Getting Started with Xpdeep Core
- •PyTorch Integration Guide
- •API Reference (REST & SDK)
- •Model Export and Deployment
- •Explainability Visualization (XpViz)
- •Optimization Workflows (XpAct)
- •Federated and Edge Deployment
Compliance & Governance Documentation
For compliance and risk teams
- •AI Act Alignment Checklist
- •ISO 42001 Mapping
- •Bias, Fairness & Robustness Metrics
- •Automated Audit Logs & Evidence Management
- •Regulatory Templates (GDPR / MIL-STD / MDR)
Tutorials & Use Cases
Learn by doing
- •Explain a PyTorch model step-by-step
- •Optimize predictive maintenance with counterfactuals
- •Certify an AI pipeline under ISO requirements
- •Deploy explainable AI on edge devices
API & SDK References
Developers can also access the complete API & SDK documentation through the Xpdeep Platform:
/api/v1/docs(public)REST API documentation for all public endpoints
/sdk/python/sdk/jsAvailable to customers under license
Stay Updated
The Xpdeep Documentation is constantly evolving as our framework grows. Bookmark this hub to stay updated with the latest features, API changes, and compliance-ready workflows.