[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-255":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":15,"starSnapshotCount":15,"syncStatus":35,"lastSyncTime":36,"discoverSource":37},255,"tensorflow","tensorflow\u002Ftensorflow","An Open Source Machine Learning Framework for Everyone","https:\u002F\u002Ftensorflow.org",null,"C++",195705,75187,7474,1029,0,33,108,605,136,120,"Apache License 2.0",false,"master",[25,26,27,28,29,30,31,5],"deep-learning","deep-neural-networks","distributed","machine-learning","ml","neural-network","python","2026-06-17 04:00:02","\u003Cdiv align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fwww.tensorflow.org\u002Fimages\u002Ftf_logo_horizontal.png\">\n\u003C\u002Fdiv>\n\n[![Python](https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fpyversions\u002Ftensorflow.svg)](https:\u002F\u002Fbadge.fury.io\u002Fpy\u002Ftensorflow)\n[![PyPI](https:\u002F\u002Fbadge.fury.io\u002Fpy\u002Ftensorflow.svg)](https:\u002F\u002Fbadge.fury.io\u002Fpy\u002Ftensorflow)\n[![DOI](https:\u002F\u002Fzenodo.org\u002Fbadge\u002FDOI\u002F10.5281\u002Fzenodo.4724125.svg)](https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.4724125)\n[![CII Best Practices](https:\u002F\u002Fbestpractices.coreinfrastructure.org\u002Fprojects\u002F1486\u002Fbadge)](https:\u002F\u002Fbestpractices.coreinfrastructure.org\u002Fprojects\u002F1486)\n[![OpenSSF Scorecard](https:\u002F\u002Fapi.securityscorecards.dev\u002Fprojects\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fbadge)](https:\u002F\u002Fsecurityscorecards.dev\u002Fviewer\u002F?uri=github.com\u002Ftensorflow\u002Ftensorflow)\n[![Fuzzing Status](https:\u002F\u002Foss-fuzz-build-logs.storage.googleapis.com\u002Fbadges\u002Ftensorflow.svg)](https:\u002F\u002Fbugs.chromium.org\u002Fp\u002Foss-fuzz\u002Fissues\u002Flist?sort=-opened&can=1&q=proj:tensorflow)\n[![Fuzzing Status](https:\u002F\u002Foss-fuzz-build-logs.storage.googleapis.com\u002Fbadges\u002Ftensorflow-py.svg)](https:\u002F\u002Fbugs.chromium.org\u002Fp\u002Foss-fuzz\u002Fissues\u002Flist?sort=-opened&can=1&q=proj:tensorflow-py)\n[![OSSRank](https:\u002F\u002Fshields.io\u002Fendpoint?url=https:\u002F\u002Fossrank.com\u002Fshield\u002F44)](https:\u002F\u002Fossrank.com\u002Fp\u002F44)\n[![Contributor Covenant](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FContributor%20Covenant-v1.4%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md)\n\n**`Documentation`** |\n------------------- |\n[![Documentation](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fapi-reference-blue.svg)](https:\u002F\u002Fwww.tensorflow.org\u002Fapi_docs\u002F) |\n\n[TensorFlow](https:\u002F\u002Fwww.tensorflow.org\u002F) is an end-to-end open source platform\nfor machine learning. It has a comprehensive, flexible ecosystem of\n[tools](https:\u002F\u002Fwww.tensorflow.org\u002Fresources\u002Ftools),\n[libraries](https:\u002F\u002Fwww.tensorflow.org\u002Fresources\u002Flibraries-extensions), and\n[community](https:\u002F\u002Fwww.tensorflow.org\u002Fcommunity) resources that lets\nresearchers push the state-of-the-art in ML and developers easily build and\ndeploy ML-powered applications.\n\nTensorFlow was originally developed by researchers and engineers working within\nthe Machine Intelligence team at Google Brain to conduct research in machine\nlearning and neural networks. However, the framework is versatile enough to be\nused in other areas as well.\n\nTensorFlow provides stable [Python](https:\u002F\u002Fwww.tensorflow.org\u002Fapi_docs\u002Fpython)\nand [C++](https:\u002F\u002Fwww.tensorflow.org\u002Fapi_docs\u002Fcc) APIs, as well as a\nnon-guaranteed backward compatible API for\n[other languages](https:\u002F\u002Fwww.tensorflow.org\u002Fapi_docs).\n\nKeep up-to-date with release announcements and security updates by subscribing\nto\n[announce@tensorflow.org](https:\u002F\u002Fgroups.google.com\u002Fa\u002Ftensorflow.org\u002Fforum\u002F#!forum\u002Fannounce).\nSee all the [mailing lists](https:\u002F\u002Fwww.tensorflow.org\u002Fcommunity\u002Fforums).\n\n## Install\n\nSee the [TensorFlow install guide](https:\u002F\u002Fwww.tensorflow.org\u002Finstall) for the\n[pip package](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fpip), to\n[enable GPU support](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fgpu), use a\n[Docker container](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fdocker), and\n[build from source](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fsource).\n\nTo install the current release, which includes support for\n[CUDA-enabled GPU cards](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fgpu) *(Ubuntu and\nWindows)*:\n\n```\n pip install tensorflow\n```\n\nOther devices (DirectX and MacOS-metal) are supported using\n[Device Plugins](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fgpu_plugins#available_devices).\n\nA smaller CPU-only TensorFlow package is also available:\n\n```\n pip install tensorflow-cpu\n```\n\nTo update TensorFlow to the latest version, add the `--upgrade` flag to the\ncommands above.\n\n*Nightly binaries are available for testing using the\n[tf-nightly](https:\u002F\u002Fpypi.python.org\u002Fpypi\u002Ftf-nightly) and\n[tf-nightly-cpu](https:\u002F\u002Fpypi.python.org\u002Fpypi\u002Ftf-nightly-cpu) packages on PyPI.*\n\n#### *Try your first TensorFlow program*\n\n```shell\n$ python\n```\n\n```python\n>>> import tensorflow as tf\n>>> tf.add(1, 2).numpy()\n3\n>>> hello = tf.constant('Hello, TensorFlow!')\n>>> hello.numpy()\nb'Hello, TensorFlow!'\n```\n\nFor more examples, see the\n[TensorFlow Tutorials](https:\u002F\u002Fwww.tensorflow.org\u002Ftutorials\u002F).\n\n## Contribution guidelines\n\n**If you want to contribute to TensorFlow, be sure to review the\n[Contribution Guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's\n[Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to\nuphold this code.**\n\n**We use [GitHub Issues](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorflow\u002Fissues) for\ntracking requests and bugs, please see\n[TensorFlow Forum](https:\u002F\u002Fdiscuss.tensorflow.org\u002F) for general questions and\ndiscussion, and please direct specific questions to\n[Stack Overflow](https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002Ftagged\u002Ftensorflow).**\n\nThe TensorFlow project strives to abide by generally accepted best practices in\nopen-source software development.\n\n## Patching guidelines\n\nFollow these steps to patch a specific version of TensorFlow, for example, to\napply fixes to bugs or security vulnerabilities:\n\n*   Clone the TensorFlow repository and switch to the appropriate branch for\n    your desired version—for example, `r2.8` for version 2.8.\n*   Apply the desired changes (i.e., cherry-pick them) and resolve any code\n    conflicts.\n*   Run TensorFlow tests and ensure they pass.\n*   [Build](https:\u002F\u002Fwww.tensorflow.org\u002Finstall\u002Fsource) the TensorFlow pip\n    package from source.\n\n## Continuous build status\n\nYou can find more community-supported platforms and configurations in the\n[TensorFlow SIG Build Community Builds Table](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fbuild#community-supported-tensorflow-builds).\n\n### Official Builds\n\nBuild Type                    | Status                                                                                                                                                                           | Artifacts\n----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------\n**Linux CPU**                 | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fubuntu-cc.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fubuntu-cc.html)           | [PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftf-nightly\u002F)\n**Linux GPU**                 | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fubuntu-gpu-py3.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fubuntu-gpu-py3.html) | [PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftf-nightly-gpu\u002F)\n**Linux XLA**                 | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fubuntu-xla.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fubuntu-xla.html)         | TBA\n**macOS**                     | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fmacos-py2-cc.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fmacos-py2-cc.html)     | [PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftf-nightly\u002F)\n**Windows CPU**               | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fwindows-cpu.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fwindows-cpu.html)       | [PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftf-nightly\u002F)\n**Windows GPU**               | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fwindows-gpu.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fwindows-gpu.html)       | [PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Ftf-nightly-gpu\u002F)\n**Android**                   | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fandroid.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Fandroid.html)               | [Download](https:\u002F\u002Fbintray.com\u002Fgoogle\u002Ftensorflow\u002Ftensorflow\u002F_latestVersion)\n**Raspberry Pi 0 and 1**      | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Frpi01-py3.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Frpi01-py3.html)           | [Py3](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-nightly\u002Ftensorflow-1.10.0-cp34-none-linux_armv6l.whl)\n**Raspberry Pi 2 and 3**      | [![Status](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Frpi23-py3.svg)](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-kokoro-build-badges\u002Frpi23-py3.html)           | [Py3](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow-nightly\u002Ftensorflow-1.10.0-cp34-none-linux_armv7l.whl)\n**Libtensorflow MacOS CPU**   | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https:\u002F\u002Fstorage.googleapis.com\u002Flibtensorflow-nightly\u002Fprod\u002Ftensorflow\u002Frelease\u002Fmacos\u002Flatest\u002Fmacos_cpu_libtensorflow_binaries.tar.gz) [Official GCS](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow\u002F)\n**Libtensorflow Linux CPU**   | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https:\u002F\u002Fstorage.googleapis.com\u002Flibtensorflow-nightly\u002Fprod\u002Ftensorflow\u002Frelease\u002Fubuntu_16\u002Flatest\u002Fcpu\u002Fubuntu_cpu_libtensorflow_binaries.tar.gz) [Official GCS](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow\u002F)\n**Libtensorflow Linux GPU**   | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https:\u002F\u002Fstorage.googleapis.com\u002Flibtensorflow-nightly\u002Fprod\u002Ftensorflow\u002Frelease\u002Fubuntu_16\u002Flatest\u002Fgpu\u002Fubuntu_gpu_libtensorflow_binaries.tar.gz) [Official GCS](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow\u002F)\n**Libtensorflow Windows CPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https:\u002F\u002Fstorage.googleapis.com\u002Flibtensorflow-nightly\u002Fprod\u002Ftensorflow\u002Frelease\u002Fwindows\u002Flatest\u002Fcpu\u002Fwindows_cpu_libtensorflow_binaries.tar.gz) [Official GCS](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow\u002F)\n**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https:\u002F\u002Fstorage.googleapis.com\u002Flibtensorflow-nightly\u002Fprod\u002Ftensorflow\u002Frelease\u002Fwindows\u002Flatest\u002Fgpu\u002Fwindows_gpu_libtensorflow_binaries.tar.gz) [Official GCS](https:\u002F\u002Fstorage.googleapis.com\u002Ftensorflow\u002F)\n\n## Resources\n\n*   [TensorFlow.org](https:\u002F\u002Fwww.tensorflow.org)\n*   [TensorFlow Tutorials](https:\u002F\u002Fwww.tensorflow.org\u002Ftutorials\u002F)\n*   [TensorFlow Official Models](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fmodels\u002Ftree\u002Fmaster\u002Fofficial)\n*   [TensorFlow Examples](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Fexamples)\n*   [TensorFlow Codelabs](https:\u002F\u002Fcodelabs.developers.google.com\u002F?cat=TensorFlow)\n*   [TensorFlow Blog](https:\u002F\u002Fblog.tensorflow.org)\n*   [Learn ML with TensorFlow](https:\u002F\u002Fwww.tensorflow.org\u002Fresources\u002Flearn-ml)\n*   [TensorFlow Twitter](https:\u002F\u002Ftwitter.com\u002Ftensorflow)\n*   [TensorFlow YouTube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC0rqucBdTuFTjJiefW5t-IQ)\n*   [TensorFlow model optimization roadmap](https:\u002F\u002Fwww.tensorflow.org\u002Fmodel_optimization\u002Fguide\u002Froadmap)\n*   [TensorFlow White Papers](https:\u002F\u002Fwww.tensorflow.org\u002Fabout\u002Fbib)\n*   [TensorBoard Visualization Toolkit](https:\u002F\u002Fgithub.com\u002Ftensorflow\u002Ftensorboard)\n*   [TensorFlow Code Search](https:\u002F\u002Fcs.opensource.google\u002Ftensorflow\u002Ftensorflow)\n\nLearn more about the\n[TensorFlow Community](https:\u002F\u002Fwww.tensorflow.org\u002Fcommunity) and how to\n[Contribute](https:\u002F\u002Fwww.tensorflow.org\u002Fcommunity\u002Fcontribute).\n\n## Courses\n\n* [Coursera](https:\u002F\u002Fwww.coursera.org\u002Fsearch?query=TensorFlow)\n* [Udacity](https:\u002F\u002Fwww.udacity.com\u002Fcourses\u002Fall?search=TensorFlow)\n* [Edx](https:\u002F\u002Fwww.edx.org\u002Fsearch?q=TensorFlow)\n\n## License\n\n[Apache License 2.0](LICENSE)\n","TensorFlow是一个面向所有人的开源机器学习框架。它支持深度学习和神经网络的构建，提供Python和C++稳定API，并且具有跨平台、分布式计算的能力。TensorFlow拥有丰富的工具、库以及活跃的社区资源，能够帮助研究者推进机器学习领域的前沿技术，同时让开发者可以轻松地开发和部署基于机器学习的应用程序。该框架适用于需要进行大规模数据处理、模型训练及推理的各种场景，如图像识别、自然语言处理等。",2,"2026-06-16 02:32:19","top_all"]