https://github.com/conorliv/georgia-tech-ai-and-robotics-resources
http://nbviewer.jupyter.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/tree/master/
Interesting information, I built something similar to incremental kmeans didn't work all that well though: http://cake.fiu.edu/Publications/Aaron+al-14-DK.Dynamic_Incremental_K-means_Clustering.CSCI2014.published-scan.pdf
Something I want to spend time understanding:
https://ir.canterbury.ac.nz/bitstream/handle/10092/11104/coope_report_no69_1992.pdf?sequence=1
https://en.wikipedia.org/wiki/Curve_fitting
http://www.dtcenter.org/met/users/docs/write_ups/circle_fit.pdf
http://scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html
http://www.roboticsproceedings.org/rss06/p05.pdf
http://wp.doc.ic.ac.uk/sml/project/intention-inference-with-probabilistic-models/
https://www.quora.com/What-are-the-most-important-say-top-10-algorithms-for-Robot-Learning
Making a series of plots into a gif
convert -delay 20 -loop 0 *.jpg result.gif
for dist in __import__('pkg_resources').working_set:
print dist.project_name.replace('Python', '')
wsgiref
argparse
xunitparser
xlwt
xlutils
xlrd
unicodecsv
toolz
sympy
subprocess32
statsmodels
SQLAlchemy
six
setuptools
seaborn
scipy
scikit-learn
scikit-image
requests
pytz
python-dateutil
pyparsing
pymprog
pymongo
pycosat
protobuf
pip
Pillow
patsy
pandasql
pandas
packaging
olefile
numpy
networkx
mpmath
matplotlib
lxml
glpk
ggplot
functools32
decorator
dask
Cython
cycler
Cerberus
brewer2mpl
beautifulsoup4
appdirs
PIL
python-graph-core
zope.interface
wheel
urllib3
Twisted-Web
Twisted-Names
Twisted-Core
ssh-import-id
PyYAML
python-debian
python-apt
pyserial
pyOpenSSL
pycurl
prettytable
ply
PAM
oauth
jsonpointer
jsonpatch
iotop
html5lib
configobj
colorama
cloud-init
Cheetah
chardet
apt-xapian-index
http://www.robots.ox.ac.uk/~mobile/Papers/2016AAAI_ondruska.pdf