Showing 7 open source projects for "loop 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...
    Downloads: 11 This Week
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  • 2
    OpenScience

    OpenScience

    The open-source AI workbench for scientific research

    OpenScience is an open-source AI workbench for scientific research. It lets users give an agent a research goal, then have it read literature, form hypotheses, write and run code, run experiments, analyze results, and write up findings. The workspace runs in the browser and includes a file tree, editor, terminal, session history, and scientific rendering for molecules, structures, genomes, and plots. It supports frontier, open-weight, and local models through bring-your-own-key provider...
    Downloads: 4 This Week
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  • 3
    Growth Lab

    Growth Lab

    An end-to-end growth tool that understands the product

    Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence,...
    Downloads: 2 This Week
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  • 4
    Catalyst

    Catalyst

    Accelerated deep learning R&D

    ...It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. ...
    Downloads: 2 This Week
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  • 5
    Based on boost. Thread:mutex-condition queue and map,ACE style thread and Glib style thread pool, loop task. Memory:memory pool. COM:COM object invocation. Language:compiler lexical and grammar analysis. Network:epoll reactor.
    Downloads: 0 This Week
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  • 6
    SPServer is a C++ server framework library that implements the Half-Sync/Half-Async and Leader/Follower thread pool patterns. It's based on libevent in order to utilize the best I/O loop on any platform. It include an embedded http server and ssl proxy.
    Downloads: 0 This Week
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  • 7
    This project is an OO-centric design of getopts, based on the standard python implementation of getopts. C-style loop calling of getopts is not OO and does not take advantage of Java's standard library.
    Downloads: 0 This Week
    Last Update:
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