forked from JamesMcGuigan/dataset-kepler
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathrequirements.txt
142 lines (141 loc) · 5.93 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
#
# This file is autogenerated by pip-compile
# To update, run:
#
# pip-compile
#
absl-py==0.9.0 # via tensorboard, tensorflow
appnope==0.1.0 # via ipython
astor==0.8.1 # via tensorflow
attrs==19.2.0 # via jsonschema
backcall==0.1.0 # via ipython
beautifulsoup4==4.8.1 # via fastai
bleach==3.1.0 # via nbconvert
blis==0.4.1 # via spacy, thinc
bottleneck==1.2.1 # via fastai
cachetools==4.0.0 # via google-auth
certifi==2019.9.11 # via requests
chardet==3.0.4 # via requests
click==7.0 # via pip-tools
cycler==0.10.0 # via matplotlib
cymem==2.0.2 # via preshed, spacy, thinc
cytoolz==0.10.1
decorator==4.4.0 # via ipython, traitlets
defusedxml==0.6.0 # via nbconvert
entrypoints==0.3 # via nbconvert
fastai==1.0.58
fastprogress==0.1.21 # via fastai
fn==0.4.3
funcy==1.14
gast==0.2.2 # via tensorflow
google-auth-oauthlib==0.4.1 # via tensorboard
google-auth==1.10.0 # via google-auth-oauthlib, tensorboard
google-pasta==0.1.8 # via tensorflow
grpcio==1.26.0 # via tensorboard, tensorflow
h5py==2.10.0 # via keras, keras-applications
idna==2.8 # via requests
importlib-metadata==0.23 # via jsonschema
ipykernel==5.1.2 # via ipywidgets, jupyter, jupyter-console, notebook, qtconsole
ipython-genutils==0.2.0 # via nbformat, notebook, qtconsole, traitlets
ipython==7.8.0
ipywidgets==7.5.1 # via jupyter
jedi==0.15.1 # via ipython
jinja2==2.10.3 # via jupyterlab, jupyterlab-server, nbconvert, notebook
joblib==0.14.1 # via scikit-learn
json5==0.8.5 # via jupyterlab-server
jsonschema==3.1.1 # via jupyterlab-server, nbformat
jupyter-client==5.3.4 # via ipykernel, jupyter-console, notebook, qtconsole
jupyter-console==6.1.0 # via jupyter
jupyter-core==4.6.0 # via jupyter-client, nbconvert, nbformat, notebook, qtconsole
jupyter==1.0.0
jupyterlab-server==1.0.6 # via jupyterlab
jupyterlab==1.1.4
keras-applications==1.0.8 # via keras, tensorflow
keras-preprocessing==1.1.0 # via keras, tensorflow
keras==2.3.1
kiwisolver==1.1.0 # via matplotlib
markdown==3.1.1 # via tensorboard
markupsafe==1.1.1 # via jinja2
matplotlib==3.1.1
mistune==0.8.4 # via nbconvert
more-itertools==7.2.0 # via zipp
mpmath==1.1.0 # via sympy
murmurhash==1.0.2 # via preshed, spacy, thinc
nbconvert==5.6.0 # via jupyter, notebook
nbformat==4.4.0 # via ipywidgets, nbconvert, notebook
notebook==6.0.1 # via jupyter, jupyterlab, jupyterlab-server, widgetsnbextension
numexpr==2.7.0 # via fastai
numpy==1.17.2
nvidia-ml-py3==7.352.0 # via fastai
oauthlib==3.1.0 # via requests-oauthlib
opt-einsum==3.1.0 # via tensorflow
orderedset==2.0.1
packaging==19.2 # via fastai, pip-review
pandas==0.25.1
pandocfilters==1.4.2 # via nbconvert
parso==0.5.1 # via jedi
pexpect==4.7.0 # via ipython
pickleshare==0.7.5 # via ipython
pillow==6.2.0 # via fastai, torchvision
pip-review==1.0
pip-tools==4.4.0
plac==0.9.6 # via spacy, thinc
pprint==0.1
preshed==3.0.2 # via spacy, thinc
prometheus-client==0.7.1 # via notebook
prompt-toolkit==2.0.10 # via ipython, jupyter-console
property-cached==1.6.3
protobuf==3.11.2 # via tensorboard, tensorflow
ptyprocess==0.6.0 # via pexpect, terminado
pyasn1-modules==0.2.7 # via google-auth
pyasn1==0.4.8 # via pyasn1-modules, rsa
pydash==4.7.6
pygments==2.4.2 # via ipython, jupyter-console, nbconvert, qtconsole
pynvx==1.0.0 # via fastai
pyparsing==2.4.2 # via matplotlib, packaging
pyrsistent==0.15.4 # via jsonschema
python-dateutil==2.8.0 # via jupyter-client, matplotlib, pandas
pytz==2019.3 # via pandas
pyyaml==5.1.2 # via fastai, keras
pyzmq==18.1.0 # via jupyter-client, notebook
qtconsole==4.6.0 # via jupyter
requests-oauthlib==1.3.0 # via google-auth-oauthlib
requests==2.22.0 # via fastai, requests-oauthlib, spacy, tensorboard
rsa==4.0 # via google-auth
scikit-learn==0.22 # via sklearn
scipy==1.4.1
seaborn==0.10.0
send2trash==1.5.0 # via notebook
simplejson==3.17.0
six==1.12.0 # via absl-py, bleach, cycler, google-auth, google-pasta, grpcio, h5py, jsonschema, keras, keras-preprocessing, packaging, pip-tools, prompt-toolkit, protobuf, pyrsistent, python-dateutil, tensorboard, tensorflow, torchvision, traitlets
sklearn==0.0
sortedcontainers==0.9.6
soupsieve==1.9.4 # via beautifulsoup4
spacy==2.2.1 # via fastai
srsly==0.1.0 # via spacy, thinc
sympy==1.5.1
tensorboard==2.1.0 # via tensorflow
tensorflow-estimator==2.1.0 # via tensorflow
tensorflow==2.1.0
termcolor==1.1.0 # via tensorflow
terminado==0.8.2 # via notebook
testpath==0.4.2 # via nbconvert
thinc==7.1.1 # via spacy
toolz==0.10.0 # via cytoolz
torch==1.3.0 # via fastai, torchvision
torchvision==0.4.1 # via fastai
tornado==6.0.3 # via ipykernel, jupyter-client, jupyterlab, notebook, terminado
tqdm==4.36.1 # via thinc
traitlets==4.3.3 # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, nbconvert, nbformat, notebook, qtconsole
urllib3==1.24.3 # via requests
wasabi==0.2.2 # via spacy, thinc
wcwidth==0.1.7 # via prompt-toolkit
webencodings==0.5.1 # via bleach
werkzeug==0.16.0 # via tensorboard
wheel==0.33.6
widgetsnbextension==3.5.1 # via ipywidgets
wrapt==1.11.2 # via tensorflow
zipp==0.6.0 # via importlib-metadata
# The following packages are considered to be unsafe in a requirements file:
# pip
# setuptools