Mybridge選出の機械学習プロジェクトTop30  (2017年版)


[30 Amazing Machine Learning Projects for the Past Year (v.2018)](https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7)の翻訳＋アルファです。(Mybridge承諾済み)

[Mybridge](https://www.mybridge.co/)による8,800のオープンソースプロジェクトから選んだトップ30プロジェクトです。

>Google、Uber、Facebook、Microsoftは、機械学習に限らず、オープンソース貢献度は高いですね。Apple, Amazonはあまり聞かないですね。。。:laughing:

### No.1 [FastText](https://github.com/facebookresearch/fastText?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

Facebookの単語ベクトルとテキスト分類ツール

![](https://cdn-images-1.medium.com/max/880/0*2WQg7D3_UObe8oWg.png)

*Courtesy of Facebook Research*

### No.2 [Deep-photo-styletransfer](https://github.com/luanfujun/deep-photo-styletransfer?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

画像のスタイル(画風)変換に関する[論文](https://arxiv.org/abs/1703.07511)のコードとデータ
![](https://cdn-images-1.medium.com/max/880/0*qrBzqobEIwB7OH_l.png)

*Courtesy of Fujun Luan, Ph.D. at Cornell University*

### No.3 [face_recognition](https://github.com/ageitgey/face_recognition?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

[dlib](http://dlib.net/)を使用した顔認識ツール

![](https://cdn-images-1.medium.com/max/880/0*LVTWN0rJvrgIRoJt.png)

*Courtesy of Adam Geitgey*

### No.4 [Magenta](https://github.com/tensorflow/magenta?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

Googleブレインの曲の生成ライブラリ (Tensorflow実装)
[ブログはこちら](https://magenta.tensorflow.org/)
![](https://cdn-images-1.medium.com/max/880/0*AswV0DD4gB_js5nL.png)

### No.5 [Sonnet](https://github.com/deepmind/sonnet?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

DeepMindのニューラルネットライブラリ (Tensorflow実装)
[マニュアルはこちら](https://magenta.tensorflow.org/)

![](https://cdn-images-1.medium.com/max/880/0*RAXZYDzJYZ5fkpnb.)

*Courtesy of Malcolm Reynolds at Deepmind*

### No.6 [deeplearn.js](https://github.com/PAIR-code/deeplearnjs?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

NumPy, Tensorflow風な、機械学習のJavaScriptライブラリ
Googleがオリジナルを作成

![](https://cdn-images-1.medium.com/max/880/0*q6tUpLsXEePw4VlA.png)

*Courtesy of Nikhil Thorat at Google Brain*

### No.7 [fast-style-transfer](https://github.com/lengstrom/fast-style-transfer?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

画像、動画のスタイル変換ツール

[デモはこちら](https://www.youtube.com/watch?v=xVJwwWQlQ1o)

![](https://cdn-images-1.medium.com/max/880/0*lQ5tBoMht_gA0_Jg.png)

*Courtesy of Logan Engstrom at MIT*

### No.8 [Pysc2](https://github.com/deepmind/pysc2?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

DeepMindによる、StarCraft IIの機械学習コンポーネント

[ドキュメントはこちら](https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/)

![](https://cdn-images-1.medium.com/max/880/0*IyxtNLRXpesiIbFw.png)

*Courtesy of Timo Ewalds at DeepMind*

### No.9 [AirSim](https://github.com/Microsoft/AirSim?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

MicroSoftによる、Unreal Engineを使用したドローン、自動運転用のシミュレータ

[デモはこちら](https://www.youtube.com/watch?v=-WfTr1-OBGQ&feature=youtu.be)

![](https://cdn-images-1.medium.com/max/880/0*ZnjmLd-8AEzBDHEK.png)

*Courtesy of Shital Shah at Microsoft*

### No.10 [Facets](https://github.com/PAIR-code/facets?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

Googleブレインによる、機械学習のための可視化ツール (Web)

[デモはこちら](https://pair-code.github.io/facets/)

![](https://cdn-images-1.medium.com/max/880/0*uDCa2bMcAqNrrNv2.)

*Courtesy of Google Brain*

### No.11 [Style2Paints](https://github.com/lllyasviel/style2paints?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

イラストの塗りツール

![](https://cdn-images-1.medium.com/max/880/0*nkCo-3YJPL6xCHpC.png)

### No.12 [Tensor2Tensor](https://github.com/tensorflow/tensor2tensor?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

GoogleのSequence to Sequenceツール (Tensorflow実装)

![](https://cdn-images-1.medium.com/max/880/0*zjcouq8bmg_-Mbbg.)

*Courtesy of Ryan Sepassi at Google Brain*

### No.13 [pytorch-CycleGAN-and-pix2pix](https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7)

画像変換ライブラリ (PyTorch実装)

![](https://cdn-images-1.medium.com/max/880/0*lMydiJ6kXNhNOMZl.)

*Courtesy of Jun-Yan Zhu, Ph.D at Berkeley*

### No.14 [Faiss](https://github.com/facebookresearch/faiss?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

ベクトルの類似検索ライブラリ (Python, C)

[チュートリアルはこちら](https://github.com/facebookresearch/faiss/wiki/Getting-started-tutorial)

![](https://cdn-images-1.medium.com/max/880/0*qSBITcg49L5zJPrq.)

*Courtesy of Facebook Research*

### No.15 [Fashion-mnist](https://github.com/zalandoresearch/fashion-mnist?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

MNISTのファッション版
[Zalando](https://jobs.zalando.com/tech/)の靴、服、鞄の画像データセット

![](https://cdn-images-1.medium.com/max/880/0*76TZqwUAic-jfyZ9.png)

*Courtesy of Han Xiao, Research Scientist Zalando Tech*

### No.16 [ParlAI](https://github.com/facebookresearch/ParlAI?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

[チャットボット用の学習モデル作成フレームワーク](http://parl.ai/)

![](https://cdn-images-1.medium.com/max/880/0*o342nNDFrQEh4WgS.png)

*Courtesy of Alexander Miller at Facebook Research*

### No.17 [Fairseq](https://github.com/facebookresearch/fairseq?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

FacebookのSequence to Sequenceツール (Torch実装)
フランス語、ドイツ語、ロシア語の学習済みモデルあり

![](https://cdn-images-1.medium.com/max/880/0*f-o8M0f1u93QGesO.png)

### No.18 [pyro](https://github.com/uber/pyro?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

確率的プログラミングのライブラリ (PyTorch実装)
![](https://cdn-images-1.medium.com/max/880/0*9M1jkKDUkDe4gp20.)

*Courtesy of Uber AI Labs*

### No.19 [iGAN](https://github.com/junyanz/iGAN?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

GANを使用してインタラクティブに画像生成するツール
[デモはこちら](https://www.youtube.com/watch?v=9c4z6YsBGQ0&feature=youtu.be)

![](https://cdn-images-1.medium.com/max/880/0*Zu5YfKNsiKiXcW0B.png)

### No.20 [deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

画像修復ツール。
[マニュアルはこちら](https://dmitryulyanov.github.io/deep_image_prior)

![](https://cdn-images-1.medium.com/max/880/0*tJ5DVwoE6TvbzPK0.png)


### No.21 [Face_classification](https://github.com/oarriaga/face_classification?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

リアルタイムな顔認識。Happy, angryなどの感情を検出する。

[論文はこちら](https://github.com/oarriaga/face_classification/blob/master/report.pdf)

![](https://cdn-images-1.medium.com/max/880/0*ytjM7BECG2AAxOPy.)


### No.22 [Speech-to-Text-WaveNet](https://github.com/buriburisuri/speech-to-text-wavenet?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

音声認識ツール(DeepMind’s WaveNet、tensorflow実装)

![](https://cdn-images-1.medium.com/max/880/0*FoNnCUyAX82uFrUy.png)

*Courtesy of Namju Kim at Kakao Brain*

### No.23 [StarGAN](https://github.com/yunjey/StarGAN?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

StarGANのPyTorch実装。表情や髪型などを変換する。

![](https://cdn-images-1.medium.com/max/880/0*Plc3xT8esVvSncz2.png)

*Courtesy of Yunjey Choi at Korea University*


### No.24 [Ml-agents](https://github.com/Unity-Technologies/ml-agents?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

Unityを使用した機械学習ライブラリ

![](https://cdn-images-1.medium.com/max/880/0*-aLf4Jv_oSBd3TsM.)

*Courtesy of Arthur Juliani, Deep Learning at Unity3D*

### No.25 [DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics/?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

動画、画像の検索システム。画像で画像を検索できる。

[デモはこちら](https://www.deepvideoanalytics.com/)

![](https://cdn-images-1.medium.com/max/880/0*Qtk1dEJpBLLzYXis.png)

*Courtesy of Akshay Bhat, Ph.D at Cornell University*

### No.26 [OpenNMT](https://github.com/OpenNMT/OpenNMT?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

機械翻訳 (Torch実装)

[デモサイト](https://demo-pnmt.systran.net/production#/translation)

翻訳例
>The system is designed to be simple to use and easy to extend, while maintaining efficiency and state-of-the-art translation accuracy.
このシステムは、効率の維持と最新の翻訳精度を維持しながら、簡単に使えるよう設計されています。


![](https://cdn-images-1.medium.com/max/880/0*g-rkxDnCap19tqCl.png)

### No.27 [Pix2pixHD](https://github.com/NVIDIA/pix2pixHD?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

高解像度(2048x1024)のConditional GAN (Pytorch実装)

![](https://cdn-images-1.medium.com/max/880/0*CuEv-R4QJFEMuCvN.png)

### No.28 [Horovod](https://github.com/uber/horovod?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

Uberのプロジェクト。Tensorflowベースの分散深層学習フレームワーク

![](https://cdn-images-1.medium.com/max/880/0*E92YZf6CMFSxUynW.png)

*Courtesy of Uber Engineering*


### No.29 [AI-Blocks](https://github.com/MrNothing/AI-Blocks?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

GUIで簡単に機械学習モデルを作れるツールです。[マニュアルはこちら](https://mrnothing.github.io/AI-Blocks/index.html)

![](https://cdn-images-1.medium.com/max/880/0*vONXmV1SG68rf-LZ.png)

### No.30 [Deep neural networks for voice conversion, voice style transfer, in Tensorflow](https://github.com/andabi/deep-voice-conversion?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more)

録音した自分の声を有名人の声で再生します。
Kate Winslet(映画タイタニックのヒロイン)の[サンプル](https://soundcloud.com/andabi/sets/voice-style-transfer-to-kate-winslet-with-deep-neural-networks)が聞けます。

![](https://cdn-images-1.medium.com/max/880/0*Wbtz8ySNyZlBtu_N.png)

*Courtesy of Dabi Ahn, AI Research at Kakao Brain*