Selectel version of containeer with Python ML frameworks
3.5K
$ docker run -d -p 8888:8888 selectel/selectel-ml
Consider adding CPU and RAM limits:
-m 10g --cpus=6
Basic deployment example
apiVersion: apps/v1
kind: Deployment
metadata:
name: selectel-ml
labels:
app: selectel-ml
spec:
replicas: 1
selector:
matchLabels:
app: selectel-ml
template:
metadata:
labels:
app: selectel-ml
spec:
containers:
- name: selectel-ml
image: selectel/selectel-ml
ports:
- containerPort: 8888
To expose port use command
kubectl expose deployment selectel-ml --type=LoadBalancer --name=my-service
Running container will expose 8888 port with Jupyter noteboks WebUI, with default password
9lG0eXCevt
For password changing instructions see Jupyter documentation
Python 3.6.9 installed on Ubuntu 18.04
Package Version
----------------------- -------------------
absl-py 0.13.0
anaconda 0.0.1.1
anyio 3.2.0
argon2-cffi 20.1.0
astunparse 1.6.3
async-generator 1.10
attrs 21.2.0
Babel 2.9.1
backcall 0.2.0
beautifulsoup4 4.9.3
bleach 3.3.0
blis 0.7.4
Bottleneck 1.3.2
cached-property 1.5.2
cachetools 4.2.2
catalogue 2.0.4
catboost 0.26
certifi 2021.5.30
cffi 1.14.5
chardet 3.0.4
click 7.1.2
contextvars 2.4
cycler 0.10.0
cymem 2.0.5
Cython 0.29.23
dataclasses 0.8
decorator 4.4.2
defusedxml 0.7.1
entrypoints 0.3
fastai 2.4
fastcore 1.3.20
fastprogress 1.0.0
ffmpeg 1.4
ffmpeg-python 0.2.0
flatbuffers 1.12
freetype-py 2.2.0
future 0.18.2
gast 0.4.0
google-auth 1.32.0
google-auth-oauthlib 0.4.4
google-pasta 0.2.0
graphviz 0.16
grpcio 1.34.1
h5py 3.1.0
idna 2.10
imageio 2.9.0
imageio-ffmpeg 0.4.4
immutables 0.15
importlib-metadata 4.5.0
ipykernel 5.5.5
ipython 7.16.1
ipython-genutils 0.2.0
ipywidgets 7.6.3
jedi 0.18.0
Jinja2 3.0.1
joblib 1.0.1
json5 0.9.6
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.12
jupyter-console 6.4.0
jupyter-core 4.7.1
jupyter-server 1.8.0
jupyterlab 3.0.16
jupyterlab-pygments 0.1.2
jupyterlab-server 2.6.0
jupyterlab-widgets 1.0.0
Keras 2.4.3
keras-nightly 2.5.0.dev2021032900
Keras-Preprocessing 1.1.2
kiwisolver 1.3.1
language-selector 0.1
lightgbm 3.2.1
Mako 1.0.7
Markdown 3.3.4
MarkupSafe 2.0.1
matplotlib 3.3.4
mistune 0.8.4
moviepy 1.0.3
mpmath 1.2.1
murmurhash 1.0.5
nbclassic 0.3.1
nbclient 0.5.3
nbconvert 6.0.7
nbformat 5.1.3
nest-asyncio 1.5.1
netifaces 0.10.4
networkx 2.5.1
nltk 3.6.2
nose 1.3.7
notebook 6.4.0
numexpr 2.7.3
numpy 1.19.5
nvidia-ml-py3 7.352.0
oauthlib 3.1.1
opencv-python 4.5.2.54
opt-einsum 3.3.0
packaging 20.9
pandas 1.1.5
pandocfilters 1.4.3
parso 0.8.2
pathy 0.5.2
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.2.0
pip 21.1.2
plac 1.3.3
plotly 5.0.0
preshed 3.0.5
proglog 0.1.9
prometheus-client 0.11.0
prompt-toolkit 3.0.19
protobuf 3.17.3
ptyprocess 0.7.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycparser 2.20
pydantic 1.7.4
Pygments 2.9.0
pygobject 3.26.1
pyparsing 2.4.7
pyrsistent 0.17.3
python-dateutil 2.8.1
python-debian 0.1.32
pytz 2021.1
PyYAML 3.12
pyzmq 22.1.0
qtconsole 5.1.0
QtPy 1.9.0
regex 2021.4.4
requests 2.25.1
requests-oauthlib 1.3.0
retrying 1.3.3
rsa 4.7.2
scikit-learn 0.24.2
scipy 1.5.4
Send2Trash 1.7.1
setuptools 57.0.0
six 1.15.0
smart-open 3.0.0
sniffio 1.2.0
soupsieve 2.2.1
spacy 3.0.6
spacy-legacy 3.0.6
srsly 2.4.1
sympy 1.8
tenacity 7.0.0
tensorboard 2.5.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.0
tensorboardX 2.2
tensorflow-estimator 2.5.0
tensorflow 2.5.0
termcolor 1.1.0
terminado 0.10.1
testpath 0.5.0
thinc 8.0.6
threadpoolctl 2.1.0
torch 1.9.0
torchvision 0.10.0
tornado 6.1
tqdm 4.61.1
traitlets 4.3.3
transforms3d 0.3.1
typer 0.3.2
typing 3.7.4.3
typing-extensions 3.7.4.3
urllib3 1.26.5
vispy 0.6.6
wasabi 0.8.2
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.1.0
Werkzeug 2.0.1
wheel 0.36.2
widgetsnbextension 3.5.1
wrapt 1.12.1
xgboost 1.4.2
youtube-dl 2021.6.6
zipp 3.4.1
Content type
Image
Digest
Size
2.2 GB
Last updated
about 5 years ago
docker pull selectel/selectel-ml