afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Andrew Carl's Projects
pycone
Python in Computational Neuroscience
pyconkr17
How Far Can You Trust Your Deep Neural Networks (Feat. TensorFlow)
pyconometrics
Python Econometrics toolbox, requires NumPy
pycook2
pycorpora
A simple Python interface for Darius Kazemi's Corpora Project.
pycparser
:snake: Complete C99 parser in pure Python
pycrawler
pycroproi
pycrowdflower
Python code for accessing the CrowdFlower API
pycrumbs
Bits and bytes of Python from the Internet
pycss
Curvature Scale Space in Python
pycwt
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
pycycle
Open Source cycle analysis tool
pycycle-1
Thermodynamic cycle modeling library, built on top of OpenMDAO
pydaemo
Python Wrapper for Daemo (daemo.stanford.edu)
pydakota
pydart2
A python binding of Dart, an open source simulation package
pydata-amsterdam-2016
Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
pydata-annarbor2017-dl-tutorial
Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
pydata-berlin-2014-kalman
Talk at PyData Berlin Conference
pydata-carolinas-2016
:bar_chart: My tutorial for PyData Carolinas 2016
pydata-chicago2016-ml-tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
pydata-dc-2016-tutorial
Tutorial: Machine Learning with Text in scikit-learn
pydata-gbrt-tutorial
IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
pydata-nyc-2015
:scroll: Understanding Probabilistic Topic Models with Simulation in Python
pydata-nyc-advanced-sklearn
Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
pydata-strata-2015
Slides and notebooks for PyData Strata San Jose
pydata-tutorial
Files for London PyData London, 2015
pydata2015
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