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前言 过去一年，机器学习领域涌现出多篇重量级论文，其中一些技术已经有了表现上佳的项目实践。这里整理了50个年度最佳项目，涵盖图像处理、风格转换、图像分类、面部识别、视频防抖、目标检测、自动驾驶、智能推荐、游戏、下棋、医疗、语音生成、音乐、自然语言处理、预测等15个应用领域。AI 技术进展，一文尽览。 50个项目在15个领域的分布情况 No.1 High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs 利用条件 GANs 的高分辨率图像合成及语义操作 项目地址：https://github.com/facebookresearch/fastText No.2 Using Deep Learning to Create Professional-Level Photographs 利用深度学习创作专业级照片 项目地址：https://research./2017/07/using-deep-learning-to-create.html No.3 High Dynamic Range (HDR) Imaging using OpenCV (Python) 利用 OpenCV (Python)高动态范围成像(HDR) 项目地址：https://www./high-dynamic-range-hdr-imaging-using-opencv-cpp-python No.4 Visual Attribute Transfer through Deep Image Analogy 通过深度图像类比进行视觉属性转换（像素级别） 论文地址：https:///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 深度摄影风格转换: 一种处理大量图像内容，同时忠实传递参考风格的深度学习方法 论文地址：https:///abs/1703.07511 No.6 Deep Image Prior:Super-resolution, inpainting, denoising without learning on a dataset and pretrained networks Deep Image Prior：使用随机初始化神经网络实现图片去噪、超分辨率和修补 项目地址：https://dmitryulyanov./deep_image_prior No.7 Feature Visualization: How neural networks build up their understanding of images 特征可视化: 神经网络如何建立对图像的理解 论文地址：https:///2017/feature-visualization No.8 An absolute beginner's guide to Image Classification with Neural Networks 初学者指南：神经网络图像分类 项目地址：https://github.com/humphd/have-fun-with-machine-learning No.9 Background removal with deep learning 用深度学习清除图像背景 项目地址：https:///towards-data-science/background-removal-with-deep-learning-c4f2104b3157 No.10 Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression 基于直接体积回归的单幅图像大姿态三维人脸重建 项目地址：http:///papers/jackson2017recon
No.11 Eye blink detection with OpenCV, Python, and dlib 用 OpenCV，Python 和 dlib 捕捉眨眼动作 项目地址：http://www./2017/04/24/eye-blink-detection-opencv-python-dlib
No.12 DEAL WITH IT in Python with Face Detection DEAL WITH IT：基于 Python 的人脸识别，实现自动戴墨镜效果 项目地址：https://www./blog/deal-with-it-generator-face-recognition
No.13 Fused Video Stabilization on the Pixel 2 and Pixel 2 XL Google 解读 Pixel 2 和 Pixel 2 XL 两款手机的视频拍摄防抖技术 文章地址：https://research./2017/11/fused-video-stabilization-on-pixel-2.html
No.14 How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & Not Hotdog：热狗识别器 项目地址：https:///@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 综述：深度学习时代的目标检测技术 文章地址：https:///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 的对象检测器 API 来训练你的对象检测器 文章地址：https:///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 利用深度学习和 OpenCV 实时监测目标 项目地址：http://www./2017/09/18/real-time-object-detection-with-deep-learning-and-opencv
No.18 Self-driving Grand Theft Auto V with Python : Intro [Part I] - Sentdex 用 Python 实现“侠盗飞车5”自动驾驶 视频地址：https://www./watch?v=ks4MPfMq8aQ
No.19 Recognizing Traffic Lights With Deep Learning: How I learned deep learning in 10 weeks and won $5,000 用深度学习识别交通信号灯 文章地址：https://medium./recognizing-traffic-lights-with-deep-learning-23dae23287cc
No.20 Spotify’s Discover Weekly: How machine learning finds your new music 机器学习如何找到你喜欢的新歌 项目地址：https:///spotifys-discover-weekly-how-machine-learning-finds-your-new-music-19a41ab76efe
No.21 Artwork Personalization at Netflix Netflix 上影视作品的个性化推荐 文章地址：https:///netflix-techblog/artwork-personalization-c589f074ad76
No.22 MariFlow - Self-Driving Mario Kart w/Recurrent Neural Network MariFlow：在游戏中利用 RNN 自动驾驶马里奥卡丁车 视频地址：https://www./watch?v=Ipi40cb_RsI
No.23 OpenAI Baselines: DQN. Reproduce reinforcement learning algorithms with performance on par with published results OpenAI Baselines: DQN：强化学习算法的高质量复现 项目地址：https://blog./openai-baselines-dqn
No.24 Reinforcement Learning on Dota 2 [Part II] 在 Dota 2 游戏中，强化学习算法如何击败人类玩家 项目地址：https://blog./more-on-dota-2
No.25 Creating an AI DOOM bot 在毁灭战士（DOOM）游戏中创建一个 AI 机器人 项目地址：https://www./blog/doom-ai
No.26 Phase-Functioned Neural Networks for Character Control 用于角色控制的相位函数神经网络 项目地址：http:///page/phase-functioned-neural-networks-character-control
No.27 The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI 用有监督的深度卷积神经网络实现游戏仿真 论文地址：https:///abs/1702.05663
No.28 Introducing: Unity Machine Learning Agents Unity 3D 游戏中的机器学习智能体 文章地址：https://blogs./cn/2017/09/19/introducing-unity-machine-learning-agents
No.29 Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm 利用强化学习算法自我博弈，掌握国际象棋和日本将棋 论文地址：https:///abs/1712.01815
No.30 AlphaGo Zero: Learning from scratch | DeepMind AlphaGo Zero：从零开始学习，掌握围棋 论文地址：https:///blog/alphago-zero-learning-scratch
No.31 How Does DeepMind' AlphaGo Zero Work? 讲解：DeepMind 的 AlphaGo Zero 是如何工作的？ 视频地址：https://www./watch?v=vC66XFoN4DE
No.32 A step-by-step guide to building a simple chess AI 实操指南：如何建立一个简单的国际象棋 AI 文章地址：https://medium./simple-chess-ai-step-by-step-1d55a9266977
No.33 CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning AI 放射科医生：用深度学习技术分析胸透 x 光，检测是否患肺炎 项目地址：https://stanfordmlgroup./projects/chexnet
No.34 Can you improve lung cancer detection? 2nd place solution for the Data Science Bowl 2017 如何改良对肺癌的检测？看2017年 kaggle 大赛第二名的解决方案 项目地址：http://juliandewit./kaggle-ndsb2017
No.35 Improving Palliative Care with Deep Learning - Andrew Ng 用深度学习技术改善临终关怀 项目地址：https://stanfordmlgroup./projects/improving-palliative-care
No.36 Heart Disease Diagnosis with Deep Learning 用深度学习技术诊断心脏病 地址：https://blog./heart-disease-diagnosis-with-deep-learning-c2d92c27e730
No.37 Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model - Data Scientists at Google Tacotron：谷歌的全端到端语音合成技术 论文地址：https:///abs/1703.10135
No.38 Sequence Modeling with CTC 用 CTC 算法进行序列建模 论文地址：https:///2017/ctc
No.39 Deep Voice: Real-time Neural Text-to-Speech - Baidu Silicon Valley AI Lab Deep Voice：百度的实时语音生成技术 论文地址：https:///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 新声音背后的深度学习技术 文章地址：https://machinelearning.apple.com/2017/08/06/siri-voices.html
No.41 Computer evolves to generate baroque music! 计算机自动生成巴洛克音乐 视频地址：https://www./watch?v=SacogDL_4JU
No.42 Make your own music with WaveNets: Making a Neural Synthesizer Instrument 用 WaveNets 制作个性化音乐 地址：https://magenta./nsynth-instrument
No.43 Learning to communicate: Agents developing their own language - OpenAI Research 学会沟通：让 Agents 发明自己的语言 文章地址：https:///blog/learning-to-communicate
No.44 Big Picture Machine Learning: Classifying Text with Neural Networks and TensorFlow 图解机器学习：神经网络和 TensorFlow 文本分类 文章地址：https://medium./big-picture-machine-learning-classifying-text-with-neural-networks-and-tensorflow-d94036ac2274
No.45 A novel approach to neural machine translation - Facebook AI Research 一种神经机器翻译新方法 项目地址：https://code./posts/1978007565818999/a-novel-approach-to-neural-machine-translation
No.46 How to make a racist AI without really trying 如何让 AI 辨识种族歧视言论 文章地址：https://blog./2017/07/13/how-to-make-a-racist-ai-without-really-trying
No.47 Using Machine Learning to Predict Value of Homes On Airbnb 利用机器学习预测 Airbnb 住宅的价值 文章地址：https:///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神经网络时序预测不确定性估计 项目地址：https://eng./neural-networks-uncertainty-estimation
No.49 Using Machine Learning to make parking easier 使用机器学习让停车更容易 项目地址：https://research./2017/02/using-machine-learning-to-predict.html
No.50 How to Predict Stock Prices Easily - Intro to Deep Learning #7 深度学习入门教程：如何轻松预测股票价格 视频地址：https://www./watch?v=ftMq5ps503w
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