krasing's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
progit/progit2
Pro Git 2nd Edition
Lasagne/Lasagne
Lightweight library to build and train neural networks in Theano
johnmyleswhite/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
corynissen/foodborne_classifier
The classifier used in the http://foodborne.smartchicagoapps.org/ application.
flame/libflame
High-performance object-based library for DLA computations
gpschool/gpss15
Gaussian Process Summer School, Sheffield, 2015