Showing 6 open source projects for "deep"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • 1
    Source Code Hunter

    Source Code Hunter

    Source code analysis of Spring, MyBatis, Redis, Netty, and more

    Source Code Hunter is an open source project by Doocs that focuses on analyzing and explaining the source code of widely used Java frameworks and libraries. It helps developers deepen their understanding of internal implementations, design patterns, and performance optimizations by walking through actual codebases such as Spring, MyBatis, Netty, Tomcat, and others. The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated...
    Downloads: 4 This Week
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  • 2
    Advanced Java

    Advanced Java

    Comprehensive guide to advanced Java topics and backend tech

    advanced-java is a curated knowledge base for Java developers seeking to deepen their understanding of advanced topics, including JVM internals, multithreading, networking, databases, system design, and common backend technologies. Written in Chinese, it serves as both a study guide and reference for preparing for technical interviews or mastering large-scale system development with Java.
    Downloads: 0 This Week
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  • 3
    MIT Deep Learning Book

    MIT Deep Learning Book

    MIT Deep Learning Book in PDF format by Ian Goodfellow

    The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville.
    Downloads: 5 This Week
    Last Update:
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  • 4
    The Research Mapping Tool (RMT) is a citation utility for academics that provides deep searching of online sources for citations/related articles and graphical representation of the links between articles.
    Downloads: 0 This Week
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  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try it free
  • 5
    Labyrinth is a small gui application which, provides a random and recursive generated perfect labyrinth. Each generated labyrinth has a start and an exit point deep in it. Some robot can search for the exit of the labyrinth by using different algorithms.
    Downloads: 0 This Week
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  • 6
    JSyntax is a tool for visualizing a sentence's deep structure as a Chomsky-style phrase marker. The user can edit the sentence, save it, and validate it against an XML schema. JSyntax will support transformations such as affix hopping and passive voice
    Downloads: 0 This Week
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