Pinned Repositories
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
julia
The Julia Programming Language
Clustering.jl
A Julia package for data clustering
Distributions.jl
A Julia package for probability distributions and associated functions.
Bayesian_Data_Analysis
Just some coded examples from BDA 3rd Ed. Could possibly be in R/Python/Julia.
pymc
Bayesian Modeling and Probabilistic Programming in Python
lbollar's Repositories
lbollar/Bayesian_Data_Analysis
Just some coded examples from BDA 3rd Ed. Could possibly be in R/Python/Julia.
lbollar/activator-hello-slick
A Slick template for Typesafe Activator
lbollar/Clustering.jl
A Julia package for data clustering
lbollar/coursera_projects
Code from coursera data science course
lbollar/cs231n
Repo for Stanford cs231n related work
lbollar/Distributions.jl
A Julia package for probability distributions and associated functions.
lbollar/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
lbollar/functional_scala_coursera
Projects for Functional Programming in Scala Coursera Course
lbollar/FunctionalData.jl
Functional, efficient data manipulation framework
lbollar/ggvis
Interactive grammar of graphics for R
lbollar/GPy
Gaussian processes framework in python
lbollar/julia
The Julia Language: A fresh approach to technical computing.
lbollar/knowledge
Various notes on various things
lbollar/mastering-apache-spark-book
Towards mastery of Apache Spark
lbollar/NUTS-matlab
lbollar/probability
Probabilistic reasoning and statistical analysis in TensorFlow
lbollar/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
lbollar/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lbollar/rstudio
RStudio is an integrated development environment (IDE) for R
lbollar/spark
Apache Spark
lbollar/template
This is the repository for the distill web framework
lbollar/tensorflow
Computation using data flow graphs for scalable machine learning
lbollar/VinDsl.jl
A fast and furious domain-specific language for variational inference in Julia.
lbollar/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