lbollar

Bayesian_Data_Analysis

Just some coded examples from BDA 3rd Ed. Could possibly be in R/Python/Julia.

activator-hello-slick

A Slick template for Typesafe Activator

Clustering.jl

A Julia package for data clustering

coursera_projects

Code from coursera data science course

cs231n

Repo for Stanford cs231n related work

Distributions.jl

A Julia package for probability distributions and associated functions.

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

functional_scala_coursera

Projects for Functional Programming in Scala Coursera Course

FunctionalData.jl

Functional, efficient data manipulation framework

ggvis

Interactive grammar of graphics for R

GPy

Gaussian processes framework in python

julia

The Julia Language: A fresh approach to technical computing.

knowledge

Various notes on various things

mastering-apache-spark-book

Towards mastery of Apache Spark

NUTS-matlab

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rstudio

RStudio is an integrated development environment (IDE) for R

spark

Apache Spark

template

This is the repository for the distill web framework

tensorflow

Computation using data flow graphs for scalable machine learning

VinDsl.jl

A fast and furious domain-specific language for variational inference in Julia.

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, Flink and DataFlow