Lists (6)
Sort Name ascending (A-Z)
- All languages
- Assembly
- Astro
- Awk
- Batchfile
- Blade
- Brainfuck
- C
- C#
- C++
- CMake
- CSS
- Chapel
- Clojure
- CoffeeScript
- Common Lisp
- Common Workflow Language
- Cuda
- Cython
- Dart
- Dockerfile
- Elixir
- Elm
- Emacs Lisp
- Forth
- Fortran
- G-code
- GDScript
- GLSL
- Gherkin
- Go
- Groff
- Groovy
- HCL
- HTML
- Haskell
- Inno Setup
- Java
- JavaScript
- Jinja
- Julia
- Jupyter Notebook
- Kotlin
- LLVM
- Lean
- Lua
- MATLAB
- MDX
- Makefile
- Markdown
- Mathematica
- Meson
- Metal
- Mustache
- NSIS
- Nextflow
- Nim
- Nix
- Nushell
- OCaml
- Objective-C
- Odin
- Open Policy Agent
- OpenEdge ABL
- PHP
- PLpgSQL
- Pascal
- Perl
- PicoLisp
- PowerShell
- PureScript
- Python
- QML
- R
- Racket
- Rich Text Format
- Roff
- Ruby
- Rust
- SCSS
- SQL
- SVG
- Scala
- Scheme
- ShaderLab
- Shell
- Smali
- Smalltalk
- Solidity
- Squirrel
- Svelte
- Swift
- TeX
- Turtle
- TypeScript
- V
- VHDL
- Vim Script
- Visual Basic
- Vue
- WebAssembly
- Wren
- XSLT
- YARA
- Zig
- hoon
- q
Starred repositories
An implementation of the Grammar of Graphics in R
A curated list of awesome R packages, frameworks and software.
🎓 A collection of interactive courses for the swirl R package.
A curated list of awesome network analysis resources.
Code accompanying the book "Machine Learning for Hackers"
A general-purpose tool for dynamic report generation in R
Statistical Rethinking course and book package
Rmd source files for the HarvardX series PH525x
a curated list of R tutorials for Data Science, NLP and Machine Learning
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
Graph and network visualization using tabular data in R
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file form…
📍 Repel overlapping text labels away from each other in your ggplot2 figures.