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@digiLab-ai

digiLab

AI decision intelligence for high-stakes headaches. Building The Uncertainty Engine, the ML platform for engineers.

Welcome to the digiLab GitHub!

We're building twinLab, a tool for augmenting engineering workflows with Probabilistic Machine Learning.

We also help organisations across energy, engineering, and transport become AI-enabled in their digital transformation journey, by combining solution engineering, training, and software support.

Connect with us on LinkedIn or via email: [email protected]

Open Source Tools:

Case Studies:

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  1. twinLab-Interface twinLab-Interface Public

    Augmenting engineering workflows with Probabilistic Machine Learning

    Python 10

  2. DaFT DaFT Public

    DerivAtive-Free Thinning

    Python 6 1

  3. twinLab-Tutorials twinLab-Tutorials Public

    A demonstration of twinLab, a tool that makes it easy to incorporate Probabilisitic Machine Learning into engineering workflows

    Jupyter Notebook 2

  4. achlys-uq achlys-uq Public

    Jupyter Notebook 1

  5. CosmologicalStructure CosmologicalStructure Public

    Using twinLab to create a cosmological structure model

    Jupyter Notebook 1

  6. uncertainty-engine-types uncertainty-engine-types Public

    Common types definitions for the Uncertainty Engine

    Python 1

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