Public | Automated Build

Last pushed: 13 days ago
Short Description
Python Env for Machine Learning & Deep Learning
Full Description

Docker Image for Machine Learning & Deep Learning based on Python3

  • This Image is managed by Taewan Kim taewanme@gmail.com
  • This Image is build as a environment for ML Study forced on ML & DL
  • This Image is composed with following libraries and servers.
opencv-python       3.4.2
absl-py             0.5.0
asn1crypto          0.24.0
astor               0.7.1
attrs               18.2.0
Automat             0.7.0
backcall            0.1.0
beautifulsoup4      4.6.3
bleach              3.0.0
bokeh               0.13.0
cffi                1.11.5
constantly          15.1.0
cryptography        2.3.1
cssselect           1.0.3
cycler              0.10.0
decorator           4.3.0
defusedxml          0.5.0
entrypoints         0.2.3
gast                0.2.0
grpcio              1.15.0
h5py                2.8.0
hyperlink           18.0.0
idna                2.6
incremental         17.5.0
ipykernel           5.0.0
ipython             7.0.1
ipython-genutils    0.2.0
ipywidgets          7.4.2
jedi                0.13.1
Jinja2              2.10
JPype1              0.6.3
jsonschema          2.6.0
jupyter             1.0.0
jupyter-client      5.2.3
jupyter-console     6.0.0
jupyter-core        4.4.0
Keras               2.2.4
Keras-Applications  1.0.6
Keras-Preprocessing 1.0.5
keyring             10.6.0
keyrings.alt        3.0
kiwisolver          1.0.1
konlpy              0.4.4
lxml                4.2.5
Markdown            3.0.1
MarkupSafe          1.0
matplotlib          3.0.0
mglearn             0.1.6
mistune             0.8.3
nbconvert           5.4.0
nbformat            4.4.0
networkx            2.2
nltk                3.3
notebook            5.7.0
numpy               1.15.2
packaging           18.0
pandas              0.23.4
pandocfilters       1.4.2
parsel              1.5.0
parso               0.3.1
pexpect             4.6.0
pickleshare         0.7.5
Pillow              5.3.0
pip                 18.0
prometheus-client   0.4.0
prompt-toolkit      2.0.5
protobuf            3.6.1
ptyprocess          0.6.0
pyasn1              0.4.4
pyasn1-modules      0.2.2
pycparser           2.19
pycrypto            2.6.1
PyDispatcher        2.0.5
Pygments            2.2.0
pygobject           3.26.1
PyHamcrest          1.9.0
pyOpenSSL           18.0.0
pyparsing           2.2.2
python-dateutil     2.7.3
pytz                2018.5
pyxdg               0.25
PyYAML              3.13
pyzmq               17.1.2
qtconsole           4.4.1
queuelib            1.5.0
scikit-learn        0.20.0
scipy               1.1.0
Scrapy              1.5.1
seaborn             0.9.0
SecretStorage       2.3.1
Send2Trash          1.5.0
service-identity    17.0.0
setuptools          39.0.1
simplegeneric       0.8.1
six                 1.11.0
tensorboard         1.11.0
tensorflow          1.11.0
termcolor           1.1.0
terminado           0.8.1
testpath            0.4.2
torch               0.4.1
torchvision         0.2.1
tornado             5.1.1
traitlets           4.3.2
Twisted             18.7.0
w3lib               1.19.0
wcwidth             0.1.7
webencodings        0.5.1
Werkzeug            0.14.1
wheel               0.30.0
widgetsnbextension  3.4.2
xlrd                1.1.0
zope.interface      4.5.0

changed log

  • 2018.10.06
    • adding opencv
    • adding torchtext
  • 2018.08.30
    • adding graphviz
  • 2018.08.06
    • adding konlpy
    • changing base image from ubunto:16.04 to taewanme/ubuntu-java:latest
    • version: 0.1.05
  • 2018.08.04
    • install wget
    • version: 0.1.05
  • 2018.07.06
    • initial image
    • version: 0.1.01

docker run -itd -p 5555:8888 -v ~/devspace/pytorch:/root/ipython --name mlpy3 opencv:0.1

reference

Docker Pull Command
Owner
taewanme
Source Repository