Showing 5 open source projects for "black box linux"

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  • 1
    Open Source Vizier

    Open Source Vizier

    Python-based research interface for blackbox

    Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. ...
    Downloads: 8 This Week
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  • 2
    Interpretable machine learning

    Interpretable machine learning

    Book about interpretable machine learning

    This book is about interpretable machine learning. Machine learning is being built into many products and processes of our daily lives, yet decisions made by machines don't automatically come with an explanation. An explanation increases the trust in the decision and in the machine learning model. As the programmer of an algorithm you want to know whether you can trust the learned model. Did it learn generalizable features? Or are there some odd artifacts in the training data which the...
    Downloads: 4 This Week
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  • 3
    CodeCampus

    CodeCampus

    CodeCampus is a learning-first Linux OS for CSE and IT students

    ...Everything is pre-installed, pre-configured, and ready to use out of the box. Beyond development tools, CodeCampus provides a curated academic and learning ecosystem. It includes guided documentation, desktop shortcuts to programming and interview resources, structured learning references, and productivity-focused dotfiles. Combined with deep GNOME customizations, custom menus, extensions, icons, wallpapers, and boot themes,
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    Downloads: 5 This Week
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  • 4
    Summarize from Feedback

    Summarize from Feedback

    Code for "Learning to summarize from human feedback"

    The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling...
    Downloads: 0 This Week
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  • 5
    BS Eagle Project is an open source black-oil simulator. The goal of this project is to provide a free access to the modern oil simulator to study new methods of simulation. The project has a modular architecture and open to modifications and extensions.
    Downloads: 0 This Week
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