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Building Large-Scale AI Applications for Distributed Big Data
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
Open standard for machine learning interoperability
Intel® Low Precision Optimization Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.
Sample code for the Flask tutorial in the VS Code documentation
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Repositories
7Building Large-Scale AI Applications for Distributed Big Data
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
Open standard for machine learning interoperability
Intel® Low Precision Optimization Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.
Sample code for the Flask tutorial in the VS Code documentation
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
An Open Source Machine Learning Framework for Everyone