頂級機器學習論文的項目實踐 | 年度 Top50
前言
過去一年，機器學習領域湧現出多篇重量級論文，其中一些技術已經有了表現上佳的項目實踐。這裡整理了50個年度最佳項目，涵蓋圖像處理、風格轉換、圖像分類、面部識別、視頻防抖、目標檢測、自動駕駛、智能推薦、遊戲、下棋、醫療、語音生成、音樂、自然語言處理、預測等15個應用領域。AI 技術進展，一文盡覽。
50個項目在15個領域的分布情況
1.Image Manipulation 圖像處理
No.1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
利用條件 GANs 的高解析度圖像合成及語義操作
項目地址：https://github.com/facebookresearch/fastText
No.2
Using Deep Learning to Create Professional-Level Photographs
利用深度學習創作專業級照片
項目地址：https://research.googleblog.com/2017/07/using-deep-learning-to-create.html
No.3
High Dynamic Range (HDR) Imaging using OpenCV (Python)
利用 OpenCV (Python)高動態範圍成像(HDR)
項目地址：https://www.learnopencv.com/high-dynamic-range-hdr-imaging-using-opencv-cpp-python
2.Style Transfer 風格轉換
No.4
Visual Attribute Transfer through Deep Image Analogy
通過深度圖像類比進行視覺屬性轉換（像素級別）
論文地址：https://arxiv.org/abs/1705.01088
No.5
Deep Photo Style Transfer: A deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style
深度攝影風格轉換: 一種處理大量圖像內容，同時忠實傳遞參考風格的深度學習方法
論文地址：https://arxiv.org/abs/1703.07511
No.6
Deep Image Prior:Super-resolution, inpainting, denoising without learning on a dataset and pretrained networks
Deep Image Prior：使用隨機初始化神經網路實現圖片去噪、超解析度和修補
項目地址：https://dmitryulyanov.github.io/deep_image_prior
3.Image Classification 圖像分類
No.7
Feature Visualization: How neural networks build up their understanding of images
特徵可視化: 神經網路如何建立對圖像的理解
論文地址：https://distill.pub/2017/feature-visualization
No.8
An absolute beginners guide to Image Classification with Neural Networks
初學者指南：神經網路圖像分類
項目地址：https://github.com/humphd/have-fun-with-machine-learning
No.9
Background removal with deep learning
用深度學習清除圖像背景
項目地址：https://medium.com/towards-data-science/background-removal-with-deep-learning-c4f2104b3157
4.Face Recgnition 面部識別
No.10
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
基於直接體積回歸的單幅圖像大姿態三維人臉重建
項目地址：http://aaronsplace.co.uk/papers/jackson2017recon
No.11
Eye blink detection with OpenCV, Python, and dlib
用 OpenCV，Python 和 dlib 捕捉眨眼動作
項目地址：http://www.pyimagesearch.com/2017/04/24/eye-blink-detection-opencv-python-dlib
No.12
DEAL WITH IT in Python with Face Detection
DEAL WITH IT：基於 Python 的人臉識別，實現自動戴墨鏡效果
項目地址：https://www.makeartwithpython.com/blog/deal-with-it-generator-face-recognition
5.Video Stabilization 視頻穩定
No.13
Fused Video Stabilization on the Pixel 2 and Pixel 2 XL
Google 解讀 Pixel 2 和 Pixel 2 XL 兩款手機的視頻拍攝防抖技術
文章地址：https://research.googleblog.com/2017/11/fused-video-stabilization-on-pixel-2.html
6.Object Detection 目標檢測
No.14
How HBO』s Silicon Valley built 「Not Hotdog」 with mobile TensorFlow, Keras &amp
Not Hotdog：熱狗識別器
項目地址：https://medium.com/@timanglade/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3
No.15
Object detection: an overview in the age of Deep Learning
綜述：深度學習時代的目標檢測技術
文章地址：https://tryolabs.com/blog/2017/08/30/object-detection-an-overview-in-the-age-of-deep-learning
No.16
How to train your own Object Detector with TensorFlow』s Object Detector API
如何使用 TensorFlow 的對象檢測器 API 來訓練你的對象檢測器
文章地址：https://medium.com/towards-data-science/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9
No.17
Real-time object detection with deep learning and OpenCV
利用深度學習和 OpenCV 實時監測目標
項目地址：http://www.pyimagesearch.com/2017/09/18/real-time-object-detection-with-deep-learning-and-opencv
7.Self Driving Car 自動駕駛
No.18
Self-driving Grand Theft Auto V with Python : Intro [Part I] - Sentdex
用 Python 實現「俠盜飛車5」自動駕駛
視頻地址：https://www.youtube.com/watch?v=ks4MPfMq8aQ
No.19
Recognizing Traffic Lights With Deep Learning: How I learned deep learning in 10 weeks and won $5,000
用深度學習識別交通信號燈
文章地址：https://medium.freecodecamp.com/recognizing-traffic-lights-with-deep-learning-23dae23287cc
8.Recommendation AI 推薦系統
No.20
Spotify』s Discover Weekly: How machine learning finds your new music
機器學習如何找到你喜歡的新歌
項目地址：https://hackernoon.com/spotifys-discover-weekly-how-machine-learning-finds-your-new-music-19a41ab76efe
No.21
Artwork Personalization at Netflix
Netflix 上影視作品的個性化推薦
文章地址：https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76
9.Gaming AI 遊戲 AI
No.22
MariFlow - Self-Driving Mario Kart w/Recurrent Neural Network
MariFlow：在遊戲中利用 RNN 自動駕駛馬里奧卡丁車
視頻地址：https://www.youtube.com/watch?v=Ipi40cb_RsI
No.23
OpenAI Baselines: DQN. Reproduce reinforcement learning algorithms with performance on par with published results
OpenAI Baselines: DQN：強化學習演算法的高質量復現
項目地址：https://blog.openai.com/openai-baselines-dqn
No.24
Reinforcement Learning on Dota 2 [Part II]
在 Dota 2 遊戲中，強化學習演算法如何擊敗人類玩家
項目地址：https://blog.openai.com/more-on-dota-2
No.25
Creating an AI DOOM bot
在毀滅戰士（DOOM）遊戲中創建一個 AI 機器人
項目地址：https://www.codelitt.com/blog/doom-ai
No.26
Phase-Functioned Neural Networks for Character Control
用於角色控制的相位函數神經網路
項目地址：http://theorangeduck.com/page/phase-functioned-neural-networks-character-control
No.27
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI
用有監督的深度卷積神經網路實現遊戲模擬
論文地址：https://arxiv.org/abs/1702.05663
No.28
Introducing: Unity Machine Learning Agents
Unity 3D 遊戲中的機器學習智能體
文章地址：https://blogs.unity3d.com/cn/2017/09/19/introducing-unity-machine-learning-agents
10.Chess AI 棋類 AI
No.29
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
利用強化學習演算法自我博弈，掌握國際象棋和日本將棋
論文地址：https://arxiv.org/abs/1712.01815
No.30
AlphaGo Zero: Learning from scratch | DeepMind
AlphaGo Zero：從零開始學習，掌握圍棋
論文地址：https://deepmind.com/blog/alphago-zero-learning-scratch
No.31
How Does DeepMind AlphaGo Zero Work?
講解：DeepMind 的 AlphaGo Zero 是如何工作的？
視頻地址：https://www.youtube.com/watch?v=vC66XFoN4DE
No.32
A step-by-step guide to building a simple chess AI
實操指南：如何建立一個簡單的國際象棋 AI
文章地址：https://medium.freecodecamp.com/simple-chess-ai-step-by-step-1d55a9266977
11.Medical AI 智能醫療
No.33
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
AI 放射科醫生：用深度學習技術分析胸透 x 光，檢測是否患肺炎
項目地址：https://stanfordmlgroup.github.io/projects/chexnet
No.34
Can you improve lung cancer detection? 2nd place solution for the Data Science Bowl 2017
如何改良對肺癌的檢測？看2017年 kaggle 大賽第二名的解決方案
項目地址：http://juliandewit.github.io/kaggle-ndsb2017
No.35
Improving Palliative Care with Deep Learning - Andrew Ng
用深度學習技術改善臨終關懷
項目地址：https://stanfordmlgroup.github.io/projects/improving-palliative-care
No.36
Heart Disease Diagnosis with Deep Learning
用深度學習技術診斷心臟病
地址：https://blog.insightdatascience.com/heart-disease-diagnosis-with-deep-learning-c2d92c27e730
12.Speech AI 語音AI
No.37
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model - Data Scientists at Google
Tacotron：谷歌的全端到端語音合成技術
論文地址：https://arxiv.org/abs/1703.10135
No.38
Sequence Modeling with CTC
用 CTC 演算法進行序列建模
論文地址：https://distill.pub/2017/ctc
No.39
Deep Voice: Real-time Neural Text-to-Speech - Baidu Silicon Valley AI Lab
Deep Voice：百度的實時語音生成技術
論文地址：https://arxiv.org/abs/1702.07825
No.40
Deep Learning for Siri』s Voice: On-device Deep Mixture Density Networks for Hybrid Unit Selection Synthesis - Apple
Deep Learning for Siri』s Voic：Siri 新聲音背後的深度學習技術
文章地址：https://machinelearning.apple.com/2017/08/06/siri-voices.html
13.Music AI 音樂 AI
No.41
Computer evolves to generate baroque music!
計算機自動生成巴洛克音樂
視頻地址：https://www.youtube.com/watch?v=SacogDL_4JU
No.42
Make your own music with WaveNets: Making a Neural Synthesizer Instrument
用 WaveNets 製作個性化音樂
地址：https://magenta.tensorflow.org/nsynth-instrument
14.NLP 自然語言處理
No.43
Learning to communicate: Agents developing their own language - OpenAI Research
學會溝通：讓 Agents 發明自己的語言
文章地址：https://openai.com/blog/learning-to-communicate
No.44
Big Picture Machine Learning: Classifying Text with Neural Networks and TensorFlow
圖解機器學習：神經網路和 TensorFlow 文本分類
文章地址：https://medium.freecodecamp.org/big-picture-machine-learning-classifying-text-with-neural-networks-and-tensorflow-d94036ac2274
No.45
A novel approach to neural machine translation - Facebook AI Research
一種神經機器翻譯新方法
項目地址：https://code.facebook.com/posts/1978007565818999/a-novel-approach-to-neural-machine-translation
No.46
How to make a racist AI without really trying
如何讓 AI 辨識種族歧視言論
文章地址：https://blog.conceptnet.io/2017/07/13/how-to-make-a-racist-ai-without-really-trying
15.Prediction 預測
No.47
Using Machine Learning to Predict Value of Homes On Airbnb
利用機器學習預測 Airbnb 住宅的價值
文章地址：https://medium.com/airbnb-engineering/using-machine-learning-to-predict-value-of-homes-on-airbnb-9272d3d4739d
No.48
Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
Uber神經網路時序預測不確定性估計
項目地址：https://eng.uber.com/neural-networks-uncertainty-estimation
No.49
Using Machine Learning to make parking easier
使用機器學習讓停車更容易
項目地址：https://research.googleblog.com/2017/02/using-machine-learning-to-predict.html
No.50
How to Predict Stock Prices Easily - Intro to Deep Learning #7
深度學習入門教程：如何輕鬆預測股票價格
視頻地址：https://www.youtube.com/watch?v=ftMq5ps503w
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