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GitHub / OscarJHernandez / udacity_2018_ml_nanodegree

The projects for the Udacity nano Degree

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OscarJHernandez%2Fudacity_2018_ml_nanodegree

Stars: 2
Forks: 2
Open Issues: 6

License: None
Language: Jupyter Notebook
Repo Size: 19.8 MB
Dependencies: 180

Created: about 6 years ago
Updated: about 5 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago

Files

Readme

Dependencies

RL_quadcopter/requirements.txt pypi

matplotlib ==2.0.0
numpy ==1.14.1

capstone_project/requirements.txt pypi

absl-py =0.4.1=py_0
anaconda-client =1.6.14=py35_0
appdirs =1.4.3=py35_0
asn1crypto =0.24.0=py_1
astor =0.7.1=py_0
attrs =18.1.0=py35_0
automat =0.7.0=py35_0
backcall =0.1.0=py35_0
basemap =1.0.7=np113py35_0
blas =1.0=mkl
bleach =2.1.3=py35_0
blinker =1.4=py_1
c-ares =1.14.0=h470a237_0
ca-certificates =2018.03.07=0
certifi =2018.8.24=py35_1
cffi =1.11.5=py35_0
chardet =3.0.4=py35_2
clyent =1.2.2=py35h491ffcb_1
constantly =15.1.0=py35_0
cryptography =2.3=py35hdffb7b8_0
cryptography-vectors =2.3=py35_0
cycler =0.10.0=py35hc4d5149_0
dbus =1.13.2=h714fa37_1
decorator =4.3.0=py35_0
entrypoints =0.2.3=py35h48174a2_2
expat =2.2.5=he0dffb1_0
fontconfig =2.12.6=h49f89f6_0
freetype =2.8=hab7d2ae_1
gast =0.2.0=py_0
geos =3.5.0=0
glib =2.56.1=h000015b_0
gmp =6.1.2=h6c8ec71_1
grpcio =1.14.1=py35hd60e7a3_0
gst-plugins-base =1.14.0=hbbd80ab_1
gstreamer =1.14.0=hb453b48_1
h5py =2.8.0=py35hb794570_1
hdf5 =1.10.2=hc401514_2
html5lib =1.0.1=py35h2f9c1c0_0
hyperlink =18.0.0=py35_0
icu =58.2=h9c2bf20_1
idna =2.7=py35_2
incremental =17.5.0=py35head57c3_0
intel-openmp =2018.0.3=0
ipykernel =4.8.2=py35_0
ipython =6.4.0=py35_0
ipython_genutils =0.2.0=py35hc9e07d0_0
ipywidgets =7.2.1=py35_0
jedi =0.12.0=py35_1
jinja2 =2.10=py35h480ab6d_0
jpeg =9b=h024ee3a_2
jsonschema =2.6.0=py35h4395190_0
jupyter_client =5.2.3=py35_0
jupyter_core =4.4.0=py35ha89e94b_0
keras =2.2.2=py35_0
keras-applications =1.0.4=py_1
keras-preprocessing =1.0.2=py_1
kiwisolver =1.0.1=py35hcb1117a_0
libedit =3.1.20170329=h6b74fdf_2
libffi =3.2.1=hd88cf55_4
libgcc-ng =7.2.0=hdf63c60_3
libgfortran =3.0.0=1
libgfortran-ng =7.2.0=hdf63c60_3
libgpuarray =0.7.6=h470a237_3
libpng =1.6.34=hb9fc6fc_0
libprotobuf =3.6.0=hd28b015_0
libsodium =1.0.16=h1bed415_0
libstdcxx-ng =7.2.0=hdf63c60_3
libxcb =1.13=h1bed415_1
libxml2 =2.9.8=h26e45fe_1
llvmlite =0.23.2=py35hdbcaa40_0
mako =1.0.7=py_1
markdown =2.6.11=py_0
markupsafe =1.0=py35h4f4fcf6_1
matplotlib =2.2.2=py35h0e671d2_1
mistune =0.8.3=py35h14c3975_1
mkl =2018.0.3=1
mkl_fft =1.0.4=py35h4414c95_1
mkl_random =1.0.1=py35h4414c95_1
nb_anacondacloud =1.4.0=py35_0
nb_conda =2.2.1=py35hccc8299_0
nb_conda_kernels =2.1.0=py35_0
nbconvert =5.3.1=py35hc5194e3_0
nbformat =4.4.0=py35h12e6e07_0
nbpresent =3.0.2=py35h9c03491_1
ncurses =6.1=hf484d3e_0
notebook =5.6.0=py35_0
numba =0.38.1=py35h04863e7_0
numpy =1.15.0=py35h1b885b7_0
numpy-base =1.15.0=py35h3dfced4_0
oauthlib =2.1.0=py_0
openssl =1.0.2p=h14c3975_0
pandas =0.23.4=py35hf8a1672_0
pandoc =2.2.1=h629c226_0
pandocfilters =1.4.2=py35h1565a15_1
parso =0.2.1=py35_0
patsy =0.5.0=py_1
pcre =8.42=h439df22_0
pexpect =4.6.0=py35_0
pickleshare =0.7.4=py35hd57304d_0
pip =10.0.1=py35_0
prometheus_client =0.2.0=py35_0
prompt_toolkit =1.0.15=py35hc09de7a_0
protobuf =3.6.0=py35hfc679d8_0
ptyprocess =0.5.2=py35h38ce0a3_0
pyasn1 =0.4.3=py35_0
pyasn1-modules =0.2.2=py35_0
pycparser =2.18=py_1
pygments =2.2.0=py35h0f41973_0
pygpu =0.7.6=py35h7eb728f_0
pyjwt =1.6.4=py_0
pyopenssl =18.0.0=py35_0
pyparsing =2.2.0=py35h041ed72_1
pyqt =5.9.2=py35h751905a_0
pysocks =1.6.8=py35_1
python =3.5.5=hc3d631a_4
python-dateutil =2.7.3=py35_0
pytz =2018.5=py35_0
pyyaml =3.12=py35h46ef4ae_1
pyzmq =17.0.0=py35h14c3975_0
qt =5.9.5=h7e424d6_0
readline =7.0=ha6073c6_4
requests =2.19.1=py35_1
requests-oauthlib =1.0.0=py_1
scikit-learn =0.19.1=py35hbf1f462_0
scipy =1.1.0=py35hfc37229_0
send2trash =1.5.0=py35_0
service_identity =17.0.0=py35_0
setuptools =39.2.0=py35_0
simplegeneric =0.8.1=py35_2
sip =4.19.8=py35hf484d3e_0
six =1.11.0=py35h423b573_1
sqlite =3.23.1=he433501_0
statsmodels =0.9.0=py35_0
tensorboard =1.10.0=py35_0
tensorflow =1.10.0=py35_0
termcolor =1.1.0=py_2
terminado =0.8.1=py35_1
testpath =0.3.1=py35had42eaf_0
theano =1.0.2=py35_0
tk =8.6.7=hc745277_3
tornado =5.0.2=py35_0
traitlets =4.3.2=py35ha522a97_0
twisted =17.5.0=py35_0
twython =3.7.0=py_0
urllib3 =1.23=py35_0
wcwidth =0.1.7=py35hcd08066_0
webencodings =0.5.1=py35hb6cf162_1
werkzeug =0.14.1=py_0
wheel =0.31.1=py35_0
widgetsnbextension =3.2.1=py35_0
xz =5.2.4=h14c3975_4
yaml =0.1.7=had09818_2
zeromq =4.2.5=h439df22_0
zlib =1.2.11=ha838bed_2
zope =1.0=py35_0
zope.interface =4.5.0=py35h14c3975_0

dog_project/requirements/requirements-gpu.txt pypi

h5py ==2.6.0
ipykernel ==4.6.1
keras ==2.0.2
matplotlib ==2.0.0
numpy ==1.12.0
opencv-python ==3.2.0.6
pillow ==4.0.0
scikit-learn ==0.18.1
scipy ==0.18.1
tensorflow-gpu ==1.0.0
tqdm ==4.11.2

dog_project/requirements/requirements.txt pypi

h5py ==2.6.0
ipykernel ==4.6.1
keras ==2.0.2
matplotlib ==2.0.0
numpy ==1.12.0
opencv-python ==3.2.0.6
pillow ==4.0.0
scikit-learn ==0.18.1
scipy ==0.18.1
tensorflow ==1.0.0
tqdm ==4.11.2