-
Notifications
You must be signed in to change notification settings - Fork 32
/
Copy pathrequirements.txt
200 lines (178 loc) · 5.25 KB
/
requirements.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
# Requirements automatically generated by pigar.
# https://github.com/Damnever/pigar
# dl_keras\bitcoin_price.py: 12,13
# dl_keras\cat_dog.py: 11
# dl_keras\densenet-ocr.py: 22,23
# dl_keras\densenet.py: 9,10,11,12,13
# dl_keras\face.py: 13
# dl_keras\gen_poetry.py: 11
# dl_keras\gen_wrods.py: 6
# dl_keras\hous_price.py: 9,10
# dl_keras\keras_lstm.py: 4,5,10
# dl_keras\keras_movies.py: 76,77,78
# dl_keras\keras_regression.py: 7,8
# dl_keras\licenseplate.py: 16
# dl_keras\lstm_seg.py: 8,9,65
# dl_keras\pm_predict.py: 11
# dl_keras\recommend_dnn.py: 10
# dl_keras\resnet.py: 9,10
# dl_keras\textAnalysis.py: 19
# dl_keras\wide_deep.py: 6,7
# dl_tensorLayer\tl_catdog.py: 7,8
Keras == 2.1.5
# dl_keras\bitcoin_price.py: 14
# dl_keras\densenet-ocr.py: 5
# dl_keras\keras_movies.py: 79
# dl_tensorLayer\tl_catdog.py: 10
# dl_tensorLayer\tl_test.py: 10
# dl_tensorflow\tf_GAN.py: 9
# dl_tensorflow\tf_records.py: 5
# dl_torch\torch_dogcat.py: 5
# utility\gen_img.py: 4
# utility\genplate.py: 2,3,4,5
Pillow == 5.1.0
# dl_keras\face.py: 6
# dl_keras\textAnalysis.py: 5
PyYAML == 3.12
# dl_tensorflow\tf_GAN.py: 8
captcha == 0.2.4
# dl_keras\textAnalysis.py: 9,10,11
gensim == 3.4.0
# utility\pytorchviz.py: 1
graphviz == 0.8.2
# dl_keras\textAnalysis.py: 7
jieba == 0.39
# dl_keras\bitcoin_price.py: 8
# dl_keras\densenet-ocr.py: 24
# dl_keras\keras_regression.py: 6
# dl_keras\licenseplate.py: 8,17
# dl_keras\pm_predict.py: 6
# dl_keras\recommend_dnn.py: 14
# dl_tensorflow\tf_GAN.py: 5
# dl_tensorflow\tf_eager.py: 7
# dl_torch\torch_CIFAR10.py: 9
matplotlib == 2.2.2
# dl_tensorflow\movie_recommend\recommender.py: 9
network == unknown
# dl_keras\bitcoin_price.py: 9
# dl_keras\cat_dog.py: 3
# dl_keras\densenet-ocr.py: 2
# dl_keras\face.py: 4
# dl_keras\gen_poetry.py: 6
# dl_keras\gen_wrods.py: 3
# dl_keras\hous_price.py: 6
# dl_keras\keras_lstm.py: 6
# dl_keras\keras_movies.py: 3
# dl_keras\keras_regression.py: 5
# dl_keras\licenseplate.py: 9
# dl_keras\lstm_seg.py: 5
# dl_keras\pm_predict.py: 4
# dl_keras\recommend_dnn.py: 4
# dl_keras\textAnalysis.py: 3
# dl_tensorLayer\neural_network.py: 2
# dl_tensorLayer\tl_catdog.py: 3
# dl_tensorLayer\tl_cifar10.py: 7
# dl_tensorLayer\tl_mnist.py: 6
# dl_tensorLayer\tl_test.py: 8
# dl_tensorLayer\tl_vgg16.py: 41
# dl_tensorflow\movie_recommend\network.py: 7
# dl_tensorflow\movie_recommend\recommender.py: 6
# dl_tensorflow\tf_GAN.py: 6
# dl_tensorflow\tf_eager.py: 6
# dl_tensorflow\tf_logistic_reg.py: 5
# dl_tensorflow\tf_mnist.py: 6
# dl_torch\torch_CIFAR10.py: 3
# dl_torch\torch_GAN.py: 3
# dl_torch\torch_RNN.py: 3
# dl_torch\torch_basic.py: 2
# dl_torch\torch_mnist.py: 2
# utility\genplate.py: 7
numpy == 1.14.2
# dl_keras\licenseplate.py: 7
# utility\genplate.py: 6
opencv_python == 3.4.0.12
# dl_keras\bitcoin_price.py: 10
# dl_keras\face.py: 5
# dl_keras\gen_poetry.py: 5
# dl_keras\hous_price.py: 5
# dl_keras\keras_movies.py: 2
# dl_keras\lstm_seg.py: 6
# dl_keras\pm_predict.py: 3
# dl_keras\recommend_dnn.py: 5
# dl_keras\textAnalysis.py: 2
# dl_keras\wide_deep.py: 3
# dl_tensorflow\movie_recommend\data.py: 4
pandas == 0.22.0
# dl_keras\keras_movies.py: 4
requests == 2.18.4
# dl_tensorLayer\tl_catdog.py: 6
# dl_tensorLayer\tl_cifar10.py: 4
# dl_tensorLayer\tl_mnist.py: 3
scikit_image == 0.13.1
# dl_keras\cat_dog.py: 10
# dl_keras\face.py: 14
# dl_keras\hous_price.py: 11,12,13
# dl_keras\keras_regression.py: 9
# dl_keras\pm_predict.py: 8,9
# dl_keras\recommend_dnn.py: 17,18,19
# dl_keras\textAnalysis.py: 12
# dl_keras\wide_deep.py: 8
# dl_tensorLayer\neural_network.py: 6
# dl_tensorLayer\tl_catdog.py: 9
# dl_tensorLayer\tl_mnist_01.py: 4
# dl_tensorflow\movie_recommend\network.py: 10
scikit_learn == 0.19.1
# dl_tensorLayer\tl_vgg16.py: 44
scipy == 1.0.1
# dl_keras\bitcoin_price.py: 11
seaborn == unknown
# dl_torch\torch_GAN.py: 6
# dl_torch\torch_RNN.py: 6
# dl_torch\torch_mnist.py: 6
# dl_torch\torch_resnet.py: 4
# dl_torch\torch_vgg.py: 5
tensorboardX == 1.1
# dl_keras\densenet-ocr.py: 25
# dl_keras\keras_lstm.py: 9
# dl_tensorLayer\tl_catdog.py: 4
# dl_tensorLayer\tl_cifar10.py: 5
# dl_tensorLayer\tl_mnist.py: 4
# dl_tensorLayer\tl_mnist_01.py: 3
# dl_tensorLayer\tl_test.py: 5
# dl_tensorLayer\tl_vgg16.py: 42
# dl_tensorflow\movie_recommend\network.py: 8,9
# dl_tensorflow\movie_recommend\recommender.py: 4
# dl_tensorflow\tf_GAN.py: 7
# dl_tensorflow\tf_eager.py: 4,5
# dl_tensorflow\tf_logistic_reg.py: 4
# dl_tensorflow\tf_mnist.py: 4,5
# dl_tensorflow\tf_records.py: 4
# dl_tensorflow\wide_deep.py: 3
tensorflow_gpu == 1.7.0
# dl_tensorLayer\tl_catdog.py: 5
# dl_tensorLayer\tl_cifar10.py: 6
# dl_tensorLayer\tl_mnist.py: 5
# dl_tensorLayer\tl_test.py: 6,7
# dl_tensorLayer\tl_vgg16.py: 43,45
tensorlayer == 1.8.3
# dl_torch\torch_CIFAR10.py: 4,5,6
# dl_torch\torch_GAN.py: 2,4
# dl_torch\torch_RNN.py: 2,4
# dl_torch\torch_autoencoder.py: 1,2,3,4
# dl_torch\torch_basic.py: 3,4
# dl_torch\torch_dogcat.py: 3,6
# dl_torch\torch_embedding.py: 2,3
# dl_torch\torch_mnist.py: 3,4
# dl_torch\torch_resnet.py: 2,5,6
# dl_torch\torch_vgg.py: 3,6
# utility\pytorchviz.py: 2,3
torch == 0.3.1.post2
# dl_torch\torch_CIFAR10.py: 7,8
# dl_torch\torch_GAN.py: 5
# dl_torch\torch_RNN.py: 5
# dl_torch\torch_autoencoder.py: 5
# dl_torch\torch_dogcat.py: 4
# dl_torch\torch_mnist.py: 5
# dl_torch\torch_resnet.py: 3
# dl_torch\torch_vgg.py: 4
torchvision == 0.2.0