LinuxAtDuke / Intro-To-DockerLinks
"Do Your Own Docker"
☆26Updated 9 years ago
Alternatives and similar repositories for Intro-To-Docker
Users that are interested in Intro-To-Docker are comparing it to the libraries listed below
Sorting:
- Lecture Slides for Introduction to Data Science☆26Updated 2 years ago
- XR-style Interface to Python (from "Extending R")☆17Updated last year
- A set of RStudio add-ins for playing with distribution parameters and visualizing the resulting probability density and mass functions.☆20Updated 5 years ago
- Examples used for useR! 2016 knitr tutorial☆15Updated 9 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago
- Slides for the "We'll git there, slowly but surely" talk at SIGCSE 2018☆14Updated 7 years ago
- Slides for the "A first-year undergraduate data science course" talk at useR 2016 at Stanford☆20Updated 9 years ago
- Using RStudio with Binder with a custom Dockerfile☆43Updated 7 years ago
- Quick tidytext examination of Mueller vs. Watergate reports☆16Updated 6 years ago
- Size-constrained Clustering in R☆32Updated last year
- Computing and reproducibility bootcamp for Duke StatSci graduate students.☆11Updated 9 years ago
- A guide to parallel R, including OpenMP. Kind of.☆38Updated 10 years ago
- an R client for the gitlab API☆19Updated 6 years ago
- Metrics for scoring machine learning models in R☆22Updated 8 years ago
- Sample a file by line; quickly read a subsample of observations from a large csv file.☆21Updated 5 years ago
- Official page of the userR! 2016 conference☆17Updated 8 years ago
- Gamma lasso regression☆23Updated 2 years ago
- R for Reproducible Research tutorial☆28Updated 8 years ago
- Gaussian processes in TensorFlow via R☆16Updated 8 years ago
- lucy is a wrapper for the popular igraph package that is useful for building graphical models.☆19Updated 9 years ago
- a greta extension for Gaussian process modelling☆19Updated 8 months ago
- Amazon Web Services Bundle Package☆15Updated 5 years ago
- Efficient learning of word representations☆22Updated 4 years ago
- An R package extends R to process tera-scale datasets in parallel and out of core automatically.☆16Updated 8 years ago
- ARCHIVED☆19Updated 3 years ago
- Structure for Interfaces (from "Extending R")☆28Updated 7 years ago
- Data Science for Software Engineering☆21Updated 4 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- Materials for workshop on GPU computation for statistics, data science, machine learning applications.☆14Updated 9 years ago