Pinned Repositories
2014
Official content for the Fall 2014 Harvard CS109 Data Science course
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Brightwork
This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.
content
Official content for Harvard CS109
convnet
A GPU implementation of Convolutional Neural Nets in C++
cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
ctci
Cracking the Coding Interview
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
dsift-python
Dense sift (Dsift) feature extraction using python and numpy.
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
markovcat's Repositories
markovcat/dsift-python
Dense sift (Dsift) feature extraction using python and numpy.
markovcat/mahotas
Computer Vision in Python
markovcat/programming-collective-intelligence-code
Examples from Programming Collective Intelligence