AI Reference Kits
In collaboration with Accenture*, Intel offers a series of downloadable AI reference kits to the open source community to help enterprises accelerate their digital transformation journey. These kits are built upon the AI application tools that Intel provides to data scientists and developers.
Solve Important Business Problems
Intel has selected AI reference kits for their impact on the problems they solve across various industries. Each kit includes an AI model developed to deliver higher accuracy, better performance in training and inference, and lower overall total cost of ownership.
Scale AI with the AI Reference Kits Video Demos
View examples of how the AI reference kits are being put to work to solve real-world problems.
Part 1: Scale AI with Optimized, Domain-Specific Reference Kits
Part 2: Scale AI with the New Releases of Optimized Reference Kits
Benefits
Innovate Faster with Open Source Machine Learning Kits
Released to the open source community, the AI models were designed, trained, and tested from among thousands of models to release the one best suited for the use case. Data scientists can further customize and fine-tune the model with data from their industries.
Designed and Optimized for the Machine Learning Pipeline
Each reference kit includes a user guide to accelerate AI deployment in the enterprise, including:
- Data ingesting
- Data preprocessing
- Machine learning modeling
- Hyperparameter tuning
- Model serving and deployment
- Benchmarking
Build More Models Using Less Compute Resources
All AI models are optimized using Intel libraries, frameworks, and tools for AI development needs, powered by oneAPI, for faster training and inferencing performance using less compute resources. The AI reference kits use components from Intel's AI software portfolio, including AI Tools and the Intel® Distribution of OpenVINO™ toolkit.
A Hub of AI Reference Kits
A collection of AI reference kits with trained machine learning and deep learning models have been released to the open source community. Each kit includes model code, training data, instructions for the machine learning pipeline, libraries, and Intel® oneAPI components.
See all code repositories and their underlying topics in one list.
Try It for Yourself
This combined AI Reference Kit comes with:
- AI and machine learning source code
- Developer guide
- Docker* container configuration files
- FastAPI* end-point script
- Instructions to deploy on Intel® Developer Cloud
- Synthetic data generation scripts (if applicable)
- Streamlit* web application front end (if applicable)
- Makefile for easier deployment (if applicable)
Featured Kits
Computational Fluid Dynamics: Calculate the Velocity Profile
Develop a deep learning model for calculating a fluid flow profile using computational fluid dynamics.
Identify Drone Landing Areas
Build a model to help identify paved areas available for drone landings.
Increase Demand Forecasting Efficiency
Reduce inventory and forecasting error costs while optimizing stock replenishment.
Traffic Camera Object Detection
Build intelligent traffic cameras that help improve traffic flow and avoid accidents.
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