深度學習應用資源整理

1. 分類

 

2. 目標跟蹤

http://blog.csdn.net/real_myth/article/details/52620145  深度學習在目標跟蹤中的應用

http://blog.csdn.net/ben_ben_niao/article/details/51315000  CNN-tracking-文章導讀

https://zhuanlan.zhihu.com/p/25312850   小網路自訓練跟蹤演算法MDNet

https://github.com/HyeonseobNam/MDNet  HyeonseobNam/MDNet

http://www.p-chao.com/    Deep studio

http://dy.163.com/v2/article/detail/C0LKAQMR051182TI.html  深度學習在目標跟蹤中的應用有哪些？

https://github.com/myfavouritekk/T-CNN  ImageNet 2015 Object Detection from Video (VID)

SuperCNN

Bilateral Inception

 

R-CNN

http://blog.csdn.net/column/details/ym-alanyannick.html

 

fast-RCNN

http://blog.csdn.net/shenxiaolu1984/article/details/51152614
http://blog.csdn.net/u011534057/article/details/51259812

 

3. Python:

https://docs.python.org/2/c-api/index.html

 

 4. RNN and LSTM:

http://blog.csdn.net/mylove0414/article/details/55805974

http://blog.csdn.net/mylove0414/article/details/56969181

http://blog.csdn.net/u012556077/article/details/59094371

http://blog.csdn.net/starzhou/article/details/48225589

http://blog.csdn.net/heyongluoyao8/article/details/48636251

 

5. DataSet:

http://blog.csdn.net/u014595019/article/details/47451107

http://blog.csdn.net/u014595019/article/details/48445223

 minishuju.com
https://xueqiu.com/1824415397/51835274
https://xueqiu.com/2487145307/26131512
https://xueqiu.com/8107212038/38786912

 

ImageNet:

http://bvisionweb1.cs.unc.edu/ILSVRC2017/download-videos-1p39.php

http://image-net.org/challenges/LSVRC/2017/

https://aws.amazon.com/ko/public-datasets/amazon-bin-images/

 

6. Tensorflow:

http://www.cnblogs.com/aloiswei/p/6510355.html  Anaconda tensorflow install

 

7. github homepage:

https://github.com/rdspring1

 

8. Deep Learning 大牛：

http://blog.csdn.net/heyongluoyao8/article/details/48598169 當今世界最NB的25位大資料科學家

 

9.YOLO:

http://machinethink.net/blog/object-detection-with-yolo/   

https://arxiv.org/abs/1612.08242    Paper
https://pjreddie.com/darknet/yolo   YOLO project
https://github.com/pjreddie/darknet Model Code
https://pjreddie.com/media/files/yolo.weights  258M model data

    YOLO tensorflow:

    https://github.com/gliese581gg/YOLO_tensorflow

    https://github.com/songrotek/YOLO_tensorflow

    https://github.com/hizhangp/YOLO_tensorflow

    https://github.com/dshahrokhian/YOLO_tensorflow

 

    YOLO pytorch:

    https://github.com/longcw/yolo2-pytorch
    https://github.com/marvis/pytorch-yolo2
    https://github.com/CharlesShang/yolo2-pytorch
    https://github.com/marvis/pytorch-caffe-darknet-convert

10. Bazel:

http://blog.csdn.net/langb2014/article/details/54288304   Tensorflow的Bazel程式設計(一)

https://bazel.build/versions/master/docs/tutorial/cpp.html  官方

https://github.com/bazelbuild/bazel examples for Bazel

11. NLP

http://blog.csdn.net/rockingdingo/article/details/55224282   Tensorflow 自動文摘: 基於Seq2Seq+Attention模型的Textsum模型

 

12. markdown:

http://blog.csdn.net/vintionnee/article/details/34433125

 

13.  PIL: python imaging lib:

http://blog.csdn.net/u013467442/article/details/41827085

 

 

14. CNN Arch:

http://blog.csdn.net/l1l2l3q1q2q3/article/details/74359868

http://blog.csdn.net/gavin__zhou/article/details/53242276

 

15. separable convolution:

http://blog.csdn.net/zhgdai/article/details/5866573
http://blog.csdn.net/lqfarmer/article/details/73724690
http://blog.csdn.net/zhgdai/article/details/5866591

 

16: Awesome semantic segmentation:

https://github.com/mrgloom/awesome-semantic-segmentation

https://arxiv.org/pdf/1708.04943.pdf  Stacked Deconvolution Network(SDN)

http://blog.csdn.net/zziahgf/article/details/72639791

 

17. Convolution and Transpose Convolution(deconv):

http://blog.csdn.net/Fate_fjh/article/details/52882134
http://blog.csdn.net/LIYUAN123ZHOUHUI/article/details/60142838
http://blog.csdn.net/u012938704/article/details/52838902
http://blog.csdn.net/qq_16949707/article/details/71699075
http://blog.csdn.net/scety/article/details/69787630
https://www.zhihu.com/question/43609045

 

18. ONNX(Open Neural Network Exchange):

https://github.com/onnx

 

19. Q-learning and Reinforcement Learning:
https://github.com/blakeMilner/DeepQLearning  deep Q-learning 
https://github.com/arramos84/reinforcement-learning/tree/master/reinforcement 

 

20.  Tensorflow 分散式

http://blog.csdn.net/sinat_16823063/article/details/54023447

http://blog.csdn.net/u010510350/article/details/53412659

http://blog.csdn.net/hjimce/article/details/61197190

 

21. Finance:

https://github.com/wilsonfreitas/awesome-quant  awesome-quant

https://github.com/panpanpandas/ultrafinance
https://github.com/Xenapto/startup-financial-model

https://github.com/yutiansut/QUANTAXIS

 

22. CapsNet:

https://github.com/yechengxi/LightCapsNet
https://github.com/thibo73800/capsnet-traffic-sign-classifier
https://github.com/naturomics/CapsNet-Tensorflow
https://github.com/XifengGuo/CapsNet-Keras
https://github.com/debarko/CapsNet-Tensorflow
https://github.com/loretoparisi/CapsNet

23. NVDLA:

nvdla.org

 

24. Openpose

https://github.com/CMU-Perceptual-Computing-Lab/openpose

 

25. dopamine（多巴胺）

https://blog.csdn.net/csdnnews/article/details/82194833

https://github.com/google/dopamine/tree/master/baselines

https://github.com/google/dopamine