爱可可老师24小时热门分享(2018.11.29)

31条AI相关动态（建议6mins）

No 1. 【文献综述入门】

https://www.monash.edu/rlo/graduate-research-writing/write-the-thesis/introduction-literature-reviews

No 2. ‘What the f*ck Python!中文版 - 一些有趣且鲜为人知的 Python 特性.

https://github.com/leisurelicht/wtfpython-cn

No 3. 【BERT详解】

https://pan.baidu.com/s/1HjXnJvkdzfO5bVRIlJO2cQ#list/path=%2F

No 4. 【BERT文本分类教程】

https://github.com/Socialbird-AILab/BERT-Classification-Tutorial

No 5. 【用谷歌BERT模型在BLSTM-CRF模型上进行预训练用于中文命名实体识别的Tensorflow代码】

https://github.com/macanv/BERT-BiLSTM-CRF-NER

No 6. 【2018十篇精选AI论文摘要】

https://www.topbots.com/most-important-ai-research-papers-2018/

No 7. 【锚框：目标检测的关键】

https://pan.baidu.com/s/1sGhkpV3vCWKbppFPQ_4wuA

No 8. 【用Tensorflow目标检测控制FPS游戏(莫名想笑怎么回事)】

https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fusing-tensorflow-object-detection-to-control-first-person-shooter-games-c2c7f1daf2e9

No 9. 【用简单代码看卷积组块发展】

https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhistory-of-convolutional-blocks-in-simple-code-96a7ddceac0c

No 10. 【饼图的五种非常规替代方案】

https://medium.com/s/story/five-unusual-alternatives-to-pie-charts-389cc4676974

No 11. 【用Python自动化大学琐碎的日常】

https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fcodeburst.io%2Fhow-i-automated-the-boring-university-stuff-with-python-f2935b10d2ce

No 12. 【Pandas+Bokeh集成Python绘图】

https://github.com/PatrikHlobil/Pandas-Bokeh

No 13. 【文献综述指南：五个关键要素】

https://www.monash.edu/rlo/graduate-research-writing/write-the-thesis/writing-a-literature-review

No 14. 《Dataset Distillation》

https://arxiv.org/abs/1811.10959

No 15. 【Kaggle新赛：客户忠诚度预测与分类推荐】

https://www.kaggle.com/c/elo-merchant-category-recommendation

No 16. 【机器学习热门开源项目(2018.11)】

https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fmedium.mybridge.co%2Fmachine-learning-open-source-of-the-month-v-nov-2018-ffdf1c5a9be9

No 17. 【NVIDIA迁移学习工具集】

https://developer.nvidia.com/transfer-learning-toolkit

No 18. 【HTML版电子书：Python数据科学手册】

https://jakevdp.github.io/PythonDataScienceHandbook/

No 19. 【用神经网络控制无人机着陆】

https://arxiv.org/abs/1811.08027

No 20. 《DynamicGEM: A Library for Dynamic Graph Embedding Methods》

https://arxiv.org/abs/1811.10734

No 21. 【句子表示方法综述】

https://supernlp.github.io/2018/11/26/sentreps/

No 22. 【动态图嵌入探索】

https://github.com/palash1992/DynamicGEM

No 23. 《FlowQA: Grasping Flow in History for Conversational Machine Comprehension》

https://github.com/momohuang/FlowQA

No 24. 【TimbreTron乐音音色迁移】

http://www.cs.toronto.edu/~huang/TimbreTron/full.html

No 25. 【具有多边形注释的大型街拍数据集】

https://github.com/eBay/modanet

No 26. 【斯坦福机器学习课程“CS 229 - Machine Learning”速查表(中文版)】

https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh

No 27. 【灾后建筑物损伤等级分类】

https://medium.com/@santhoshetty/damage-level-classification-of-buildings-after-disasters-hackathon-for-peace-justice-and-14ce5f29d534

No 28. 【TensorRT推理服务器】

https://github.com/NVIDIA/tensorrt-inference-server

No 29. 【GAN的可视化理解与分析——GAN画笔演示应用】

https://github.com/CSAILVision/GANDissect

No 30. 【暗礁四伏的比特币网络】

https://medium.com/@francois.chollet/the-bitcoin-network-at-risk-bd54a1473a1d

No 31. 【用PyTorch/FastAI实现动态频谱生成音频分类】

https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Faudio-classification-using-fastai-and-on-the-fly-frequency-transforms-4dbe1b540f89