C. Schmitt's Projects
The data and analysis referenced in the Apr. 6, 2016 BuzzFeed News article, "Spies in the Skies." https://www.buzzfeed.com/peteraldhous/spies-in-the-skies
The data and analysis referenced in the Aug. 7, 2017 BuzzFeed News article, "BuzzFeed News Trained A Computer To Search For Hidden Spy Planes. This Is What We Found." https://www.buzzfeed.com/peteraldhous/hidden-spy-planes
ITP A2Z Course for Fall 2016
Adjustable Markov Chains is a Python implementation of a text generator based on the concept of Markov Chains, that can be adjusted further via fitness functions.
Shiny tips & tricks for improving your apps and solving common problems
A node.js book downloader from Archive.org
Color a JSON in Atom Editor with a color per level
A curated list of awesome Machine Learning frameworks, libraries and software.
Bash scripting basics for my students in ITEC 3860/3870
Bayesian Data Analysis demos for Python
Data Science Immersive Capstone Stage Two
Classifying text with bag-of-words
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
fast.ai Courses
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
A probabilistic programming system on TensorFlow. Deep generative models, variational inference.
:dancers: A Python implementation of the famous Eigenfaces algorithm for face recognition, implemented and tested over the AT&T face data set.
Methods workshop: Automated Text Analysis with R
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent