From a16ea92f1df413f1a3cefbe490ce4c5fcde6396b Mon Sep 17 00:00:00 2001 From: rabbit008 Date: Sun, 8 Sep 2019 10:12:38 +0800 Subject: [PATCH] Readme and release page for NNIv1 (#1512) * ss * new * new * new * .. * add example_doc * add example_doc * add framwork_doc * add examples_doc * add example_doc * delete * release-1 * release1 * release1 * release1 * release1 * release1 * release1 * release1 * adjust * adjust * adjust * add sptag * fix comments * fix comments * fix comments * fix review * readme * add release1 * fix some conflict * fix comments * solve conflicts * solve conflicts * fixed some comments * fixed some comments * fix * fix --- README.md | 28 +++++++++++++++++----------- docs/en_US/Release_v1.0.md | 32 ++++++++++++++++++++++++++++++++ docs/img/nni-1.png | Bin 0 -> 833020 bytes docs/img/release-1-title-1.png | Bin 0 -> 16719 bytes docs/img/release-1-title-2.png | Bin 0 -> 17689 bytes 5 files changed, 49 insertions(+), 11 deletions(-) create mode 100644 docs/en_US/Release_v1.0.md create mode 100644 docs/img/nni-1.png create mode 100644 docs/img/release-1-title-1.png create mode 100644 docs/img/release-1-title-2.png diff --git a/README.md b/README.md index d1900998f9..8db33f93c0 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ NNI (Neural Network Intelligence) is a toolkit to help users run automated machi The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud. -### **NNI [v1.0](https://github.com/Microsoft/nni/releases) has been released!  ** +### **NNI [v1.0](https://github.com/Microsoft/nni/blob/readme-v1/docs/en_US/Release_v1.0.md) has been released!  **

@@ -347,19 +347,25 @@ Before providing your hacks, you can review the [Contributing Instruction](docs/ ## **External Repositories and References** With authors' permission, we listed a set of NNI usage examples and relevant articles. - -* **Repo** - Run [ENAS](examples/tuners/enas_nni/README.md) with NNI -* **Repo** - Run [Neural Network Architecture Search](examples/trials/nas_cifar10/README.md) with NNI -* **Repo** - [Automatic Feature Engineering](examples/trials/auto-feature-engineering/README.md) with NNI -* **Repo** - [Hyperparameter Tuning for Matrix Factorization](https://github.com/microsoft/recommenders/blob/master/notebooks/04_model_select_and_optimize/nni_surprise_svd.ipynb) with NNI -* **Blog (in Chinese)** - AutoML tools (Advisor, NNI and Google Vizier) comparison by [@gaocegege]( https://github.com/gaocegege ) - [总结与分析 section of design and implementation of kubeflow/katib](http://gaocegege.com/Blog/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/katib-new#%E6%80%BB%E7%BB%93%E4%B8%8E%E5%88%86%E6%9E%90) +* ### **External Repositories** ### + * Run [ENAS](examples/tuners/enas_nni/README.md) with NNI + * Run [Neural Network Architecture Search](examples/trials/nas_cifar10/README.md) with NNI + * [Automatic Feature Engineering](examples/trials/auto-feature-engineering/README.md) with NNI + * [Hyperparameter Tuning for Matrix Factorization](https://github.com/microsoft/recommenders/blob/master/notebooks/04_model_select_and_optimize/nni_surprise_svd.ipynb) with NNI + +* ### **Relevant Articles** ### + + * [Hyper Parameter Optimization Comparison](docs/en_US/CommunitySharings/HpoComparision.md) + * [Neural Architecture Search Comparison](docs/en_US/CommunitySharings/NasComparision.md) + * [Parallelizing a Sequential Algorithm TPE](docs/en_US/CommunitySharings/ParallelizingTpeSearch.md) + * [Automatically tuning SVD with NNI](docs/en_US/CommunitySharings/RecommendersSvd.md) + * [Automatically tuning SPTAG with NNI](docs/en_US/CommunitySharings/SptagAutoTune.md) + * **Blog (in Chinese)** - [AutoML tools (Advisor, NNI and Google Vizier) comparison](http://gaocegege.com/Blog/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/katib-new#%E6%80%BB%E7%BB%93%E4%B8%8E%E5%88%86%E6%9E%90) by [@gaocegege](https://github.com/gaocegege) - 总结与分析 section of design and implementation of kubeflow/katib ## **Feedback** -* Discuss on the NNI [Gitter](https://gitter.im/Microsoft/nni?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) in NNI -* Ask a question with NNI tags on [Stack Overflow](https://stackoverflow.com/questions/tagged/nni?sort=Newest&edited=true) +* Discuss on the NNI [Gitter](https://gitter.im/Microsoft/nni?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) in NNI. * [File an issue](https://github.com/microsoft/nni/issues/new/choose) on GitHub. - - +* Ask a question with NNI tags on [Stack Overflow](https://stackoverflow.com/questions/tagged/nni?sort=Newest&edited=true). ## **License** diff --git a/docs/en_US/Release_v1.0.md b/docs/en_US/Release_v1.0.md new file mode 100644 index 0000000000..7dcbb56502 --- /dev/null +++ b/docs/en_US/Release_v1.0.md @@ -0,0 +1,32 @@ + +

+ +

+ + +From September 2018 to September 2019, We are still moving on … + + + **Great news!**  With the tag of **Scalability** and **Ease of Use**, NNI v1.0 is comming. Based on the various types of [Tuning Algorithms](./Tuner/BuiltinTuner.md), NNI has supported the Hyperparameter tuning, Neural Architecture search and Auto-Feature-Engineering, which is an exciting news for algorithmic engineers; besides these, NNI v1.0 has made many improvements in the optimization of tuning algorithm, [WebUI's simplicity and intuition](./Tutorial/WebUI.md) and [platform diversification](./TrainingService/SupportTrainingService.md). NNI has grown into a more intelligent automated machine learning (AutoML) toolkit. + + + +
+
+
+

+ +

+ +
+
+ +

+ +

+ +               **Step one**: Start with the [Tutorial Doc](./Tutorial/Installation.md), and install NNI v1.0 first.
+               **Step two**: Find a " Hello world example", follow the [Tutorial Doc](./Tutorial/QuickStart.md) and have a Quick Start.
+               **Step three**: Get familiar with the [WebUI Tutorial](./Tutorial/WebUI.md) and let NNI better assists with your tuning tour.
+ +The fully automated tool greatly improves the efficiency of the tuning process. For more detail about the 1.0 updates, you can refer to [Release 1.0](https://github.com/microsoft/nni/releases). More of our advance plan, you can refer to our [Roadmap](https://github.com/microsoft/nni/wiki/Roadmap). Besides, we also welcome more and more contributors to join us, there are many ways to participate, please refer to [How to contribute](./Tutorial/Contributing.md) for more details. \ No newline at end of file diff --git a/docs/img/nni-1.png b/docs/img/nni-1.png new file mode 100644 index 0000000000000000000000000000000000000000..b31e66b2ee0350f9c5401008d7f39293fac2d2bd GIT binary patch literal 833020 zcmeFZWmr^Q7ce~DD2fcCQX?rMpmc+Ds3@%d=S_^c;*0sa4=wg&bX#YI71-UArJ3Lskz3ljCI&(54hD$$=Kh0OwY)Z zPF4TWkV4=(mHMO(9$%LAD5Z|@=iU32%QuulPtNEFS{IoKev`O-{#nbJ!UYy7L&-C* zT73yxFPQb7p;1LeRK>1;Kxw-eJ?w6Yh!6KzccYzz8$HZ#UcZvZ*L*aWKn2D30}%ap zs0~+5pZo6xi0={!Io|(Vk^JWs@_#NsA|M9b|9j=8qz3eVuMk}Rf6M%)$p51ajx+ur z-{2_m|6~eB3CRC{io*QTH3-D_i&^PNCn>}?NK-?jl@qt^EfTB>OZ&0DD^of`RISVD zLk-1G>0O*r787sw!H4)hd#0`3?lZf;zps+jx7p$_-|1goUVd~1w?eSK^<=^T_>Z)e z>v~v$Z58~1B_2?V#)2UshQ8FbG@Ml7XZ}o%5y0-oOEx_PyF^T9_y8!&+c0Zh+U907 zx3w_FTwsRp!z&o2$@QesS4cNUoz?XjFfDr5@SD+^y1D`Ynct&X4x?=An)u^7jtbwv 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