{
    "info": {
        "author": "Microsoft NNI Team",
        "author_email": "nni@microsoft.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows :: Windows 10",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
        ],
        "description": "<div align=\"center\">\n<img src=\"docs/img/nni_logo.png\" width=\"600\"/>\n</div>\n\n<br/>\n\n[![MIT licensed](https://img.shields.io/badge/license-MIT-brightgreen.svg)](LICENSE)\n[![Issues](https://img.shields.io/github/issues-raw/Microsoft/nni.svg)](https://github.com/Microsoft/nni/issues?q=is%3Aissue+is%3Aopen)\n[![Bugs](https://img.shields.io/github/issues/Microsoft/nni/bug.svg)](https://github.com/Microsoft/nni/issues?q=is%3Aissue+is%3Aopen+label%3Abug)\n[![Pull Requests](https://img.shields.io/github/issues-pr-raw/Microsoft/nni.svg)](https://github.com/Microsoft/nni/pulls?q=is%3Apr+is%3Aopen)\n[![Version](https://img.shields.io/github/release/Microsoft/nni.svg)](https://github.com/Microsoft/nni/releases)\n[![Documentation Status](https://readthedocs.org/projects/nni/badge/?version=stable)](https://nni.readthedocs.io/en/stable/?badge=stable)\n[![](https://img.shields.io/github/contributors-anon/microsoft/nni)](https://github.com/microsoft/nni/graphs/contributors)\n\n\n\n[<img src=\"docs/img/readme_banner.png\" width=\"100%\"/>](https://nni.readthedocs.io/)\n\nNNI automates feature engineering, neural architecture search, hyperparameter tuning, and model compression for deep learning. Find the latest features, API, examples and tutorials in our **[official documentation](https://nni.readthedocs.io/) ([\u7b80\u4f53\u4e2d\u6587\u7248\u70b9\u8fd9\u91cc](https://nni.readthedocs.io/zh/stable))**.\n\n## What's NEW! &nbsp;<a href=\"#nni-released-reminder\"><img width=\"48\" src=\"docs/img/release_icon.png\"></a>\n\n* **New release**: [v2.7 is available](https://github.com/microsoft/nni/releases/tag/v2.7) - _released on Apr-18-2022_\n* **New demo available**: [Youtube entry](https://www.youtube.com/channel/UCKcafm6861B2mnYhPbZHavw) | [Bilibili \u5165\u53e3](https://space.bilibili.com/1649051673) - _last updated on Apr-18-2022_\n* **New webinar**: [Introducing Retiarii: A deep learning exploratory-training framework on NNI](https://note.microsoft.com/MSR-Webinar-Retiarii-Registration-Live.html) - _scheduled on June-24-2021_\n* **New community channel**: [Discussions](https://github.com/microsoft/nni/discussions)\n* **New emoticons release**: [nnSpider](https://nni.readthedocs.io/en/latest/sharings/nn_spider.html)\n<div align=\"center\">\n<a href=\"#nni-spider\"><img width=\"100%\" src=\"docs/source/sharings/images/nn_spider/home.svg\" /></a>\n</div>\n\n## Installation\n\nSee the [NNI installation guide](https://nni.readthedocs.io/en/stable/installation.html) to install from pip, or build from source.\n\nTo install the current release:\n\n```\n$ pip install nni\n```\n\nTo update NNI to the latest version, add `--upgrade` flag to the above commands.\n\n## NNI capabilities in a glance\n\n<img src=\"docs/img/overview.svg\" width=\"100%\"/>\n\n<table>\n<tbody>\n<tr align=\"center\" valign=\"bottom\">\n<td></td>\n<td>\n<b>Hyperparameter Tuning</b>\n<img src=\"docs/img/bar.png\" />\n</td>\n<td>\n<b>Neural Architecture Search</b>\n<img src=\"docs/img/bar.png\" />\n</td>\n<td>\n<b>Model Compression</b>\n<img src=\"docs/img/bar.png\" />\n</td>\n</tr>\n<tr valign=\"top\">\n<td align=\"center\" valign=\"middle\">\n<b>Algorithms</b>\n</td>\n<td>\n<ul>\n<li><b>Exhaustive search</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.gridsearch_tuner.GridSearchTuner\">Grid Search</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.random_tuner.RandomTuner\">Random</a></li>\n</ul>\n<li><b>Heuristic search</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.hyperopt_tuner.HyperoptTuner\">Anneal</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.evolution_tuner.EvolutionTuner\">Evolution</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.hyperband_advisor.Hyperband\">Hyperband</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.pbt_tuner.PBTTuner\">PBT</a></li>\n</ul>\n<li><b>Bayesian optimization</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.bohb_advisor.BOHB\">BOHB</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.dngo_tuner.DNGOTuner\">DNGO</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.gp_tuner.GPTuner\">GP</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.metis_tuner.MetisTuner\">Metis</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.smac_tuner.SMACTuner\">SMAC</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/reference/hpo.html#nni.algorithms.hpo.tpe_tuner.TpeTuner\">TPE</a></li>\n</ul>\n</ul>\n</td>\n<td>\n<ul>\n<li><b>Multi-trial</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#grid-search-strategy\">Grid Search</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#policy-based-rl-strategy\">Policy Based RL</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#random-strategy\">Random</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#regularized-evolution-strategy\">Regularized Evolution</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#tpe-strategy\">TPE</a></li>\n</ul>\n<li><b>One-shot</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#darts-strategy\">DARTS</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#enas-strategy\">ENAS</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#fbnet-strategy\">FBNet</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#proxylessnas-strategy\">ProxylessNAS</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/nas/exploration_strategy.html#spos-strategy\">SPOS</a></li>\n</ul>\n</ul>\n</td>\n<td>\n<ul>\n<li><b>Pruning</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/pruner.html#level-pruner\">Level</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/pruner.html#l1-norm-pruner\">L1 Norm</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/pruner.html#taylor-fo-weight-pruner\">Taylor FO Weight</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/pruner.html#movement-pruner\">Movement</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/pruner.html#agp-pruner\">AGP</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/pruner.html#auto-compress-pruner\">Auto Compress</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/index.html\">More...</a></li>\n</ul>\n<li><b>Quantization</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/quantizer.html#naive-quantizer\">Naive</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/quantizer.html#qat-quantizer\">QAT</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/quantizer.html#lsq-quantizer\">LSQ</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/quantizer.html#observer-quantizer\">Observer</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/quantizer.html#dorefa-quantizer\">DoReFa</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/compression/quantizer.html#bnn-quantizer\">BNN</a></li>\n</ul>\n</ul>\n</td>\n<tr align=\"center\" valign=\"bottom\">\n<td></td>\n<td>\n<b>Supported Frameworks</b>\n<img src=\"docs/img/bar.png\" />\n</td>\n<td>\n<b>Training Services</b>\n<img src=\"docs/img/bar.png\" />\n</td>\n<td>\n<b>Tutorials</b>\n<img src=\"docs/img/bar.png\" />\n</td>\n</tr>\n<tr valign=\"top\">\n<td align=\"center\" valign=\"middle\">\n<b>Supports</b>\n</td>\n<td>\n<ul>\n<li>PyTorch</li>\n<li>TensorFlow</li>\n<li>Scikit-learn</li>\n<li>XGBoost</li>\n<li>LightGBM</li>\n<li>MXNet</li>\n<li>Caffe2</li>\n<li>More...</li>\n</ul>\n</td>\n<td>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/local.html\">Local machine</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/remote.html\">Remote SSH servers</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/aml.html\">Azure Machine Learning (AML)</a></li>\n<li><b>Kubernetes Based</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/openpai.html\">OpenAPI</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/kubeflow.html\">Kubeflow</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/frameworkcontroller.html\">FrameworkController</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/adaptdl.html\">AdaptDL</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/paidlc.html\">PAI DLC</a></li>\n</ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/experiment/hybrid.html\">Hybrid training services</a></li>\n</ul>\n</td>\n<td>\n<ul>\n<li><b>HPO</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/hpo_quickstart_pytorch/main.html\">PyTorch</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/hpo_quickstart_tensorflow/main.html\">TensorFlow</a></li>\n</ul>\n<li><b>NAS</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/hello_nas.html\">Hello NAS</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/nasbench_as_dataset.html\">NAS Benchmarks</a></li>\n</ul>\n<li><b>Compression</b></li>\n<ul>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/pruning_quick_start_mnist.html\">Pruning</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/pruning_speed_up.html\">Pruning Speedup</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/quantization_quick_start_mnist.html\">Quantization</a></li>\n<li><a href=\"https://nni.readthedocs.io/en/latest/tutorials/quantization_speed_up.html\">Quantization Speedup</a></li>\n</ul>\n</ul>\n</td>\n</tbody>\n</table>\n\n<img src=\"docs/static/img/webui.gif\" alt=\"webui\" width=\"100%\"/>\n\n## Resources\n\n* [NNI Documentation Homepage](https://nni.readthedocs.io/)\n* [NNI Installation Guide](https://nni.readthedocs.io/en/stable/installation.html)\n* [NNI Examples](https://nni.readthedocs.io/en/latest/examples.html)\n* [Python API Reference](https://nni.readthedocs.io/en/latest/reference/python_api.html)\n* [Releases (Change Log)](https://nni.readthedocs.io/en/latest/release.html)\n* [Related Research and Publications](https://nni.readthedocs.io/en/latest/notes/research_publications.html)\n* [Youtube Channel of NNI](https://www.youtube.com/channel/UCKcafm6861B2mnYhPbZHavw)\n* [Bilibili Space of NNI](https://space.bilibili.com/1649051673)\n* [Webinar of Introducing Retiarii: A deep learning exploratory-training framework on NNI](https://note.microsoft.com/MSR-Webinar-Retiarii-Registration-Live.html)\n* [Community Discussions](https://github.com/microsoft/nni/discussions)\n\n## Contribution guidelines\n\nIf you want to contribute to NNI, be sure to review the [contribution guidelines](https://nni.readthedocs.io/en/stable/notes/contributing.html), which includes instructions of submitting feedbacks, best coding practices, and code of conduct.\n\nWe use [GitHub issues](https://github.com/microsoft/nni/issues) to track tracking requests and bugs.\nPlease use [NNI Discussion](https://github.com/microsoft/nni/discussions) for general questions and new ideas.\nFor questions of specific use cases, please go to [Stack Overflow](https://stackoverflow.com/questions/tagged/nni).\n\nParticipating discussions via the following IM groups is also welcomed.\n\n|Gitter||WeChat|\n|----|----|----|\n|![image](https://user-images.githubusercontent.com/39592018/80665738-e0574a80-8acc-11ea-91bc-0836dc4cbf89.png)| OR |![image](https://github.com/scarlett2018/nniutil/raw/master/wechat.png)|\n\nOver the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull requests from hundreds of contributors.\nWe appreciate all contributions from community to make NNI thrive.\n\n<img src=\"https://img.shields.io/github/contributors-anon/microsoft/nni\"/>\n\n<a href=\"https://github.com/microsoft/nni/graphs/contributors\"><img src=\"https://contrib.rocks/image?repo=microsoft/nni&max=240&columns=18\" /></a>\n\n## Test status\n\n### Essentials\n\n| Type | Status |\n| :---: | :---: |\n| Fast test | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/fast%20test?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=54&branchName=master) |\n| Full linux | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/full%20test%20-%20linux?repoName=microsoft%2Fnni&branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=62&repoName=microsoft%2Fnni&branchName=master) |\n| Full windows | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/full%20test%20-%20windows?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=63&branchName=master) |\n\n### Training services\n\n| Type | Status |\n| :---: | :---: |\n| Remote - linux to linux | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20remote%20-%20linux%20to%20linux?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=64&branchName=master) |\n| Remote - linux to windows | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20remote%20-%20linux%20to%20windows?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=67&branchName=master) |\n| Remote - windows to linux | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20remote%20-%20windows%20to%20linux?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=68&branchName=master) |\n| OpenPAI | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20openpai%20-%20linux?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=65&branchName=master) |\n| Frameworkcontroller | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20frameworkcontroller?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=70&branchName=master) |\n| Kubeflow | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20kubeflow?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=69&branchName=master) |\n| Hybrid | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20hybrid?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=79&branchName=master) |\n| AzureML | [![Build Status](https://msrasrg.visualstudio.com/NNIOpenSource/_apis/build/status/integration%20test%20-%20aml?branchName=master)](https://msrasrg.visualstudio.com/NNIOpenSource/_build/latest?definitionId=78&branchName=master) |\n\n## Related Projects\n\nTargeting at openness and advancing state-of-art technology, [Microsoft Research (MSR)](https://www.microsoft.com/en-us/research/group/systems-and-networking-research-group-asia/) had also released few other open source projects.\n\n* [OpenPAI](https://github.com/Microsoft/pai) : an open source platform that provides complete AI model training and resource management capabilities, it is easy to extend and supports on-premise, cloud and hybrid environments in various scale.\n* [FrameworkController](https://github.com/Microsoft/frameworkcontroller) : an open source general-purpose Kubernetes Pod Controller that orchestrate all kinds of applications on Kubernetes by a single controller.\n* [MMdnn](https://github.com/Microsoft/MMdnn) : A comprehensive, cross-framework solution to convert, visualize and diagnose deep neural network models. The \"MM\" in MMdnn stands for model management and \"dnn\" is an acronym for deep neural network.\n* [SPTAG](https://github.com/Microsoft/SPTAG) : Space Partition Tree And Graph (SPTAG) is an open source library for large scale vector approximate nearest neighbor search scenario.\n* [nn-Meter](https://github.com/microsoft/nn-Meter) : An accurate inference latency predictor for DNN models on diverse edge devices.\n\nWe encourage researchers and students leverage these projects to accelerate the AI development and research.\n\n## License\n\nThe entire codebase is under [MIT license](LICENSE).\n\n\n",
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