- Orange County
- www.gtrun.org
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
- All languages
- ActionScript
- Bro
- C
- C#
- C++
- CSS
- Clojure
- Common Lisp
- Cuda
- Dart
- Dhall
- Dockerfile
- Elm
- Emacs Lisp
- Go
- HCL
- HTML
- Haskell
- Java
- JavaScript
- Jinja
- Julia
- Jupyter Notebook
- Lua
- Makefile
- NCL
- Nix
- PHP
- PLpgSQL
- Perl
- PowerShell
- Puppet
- Python
- QML
- R
- Rich Text Format
- Roff
- Ruby
- Rust
- SCSS
- Sass
- Scala
- Scheme
- Shell
- Starlark
- Tcl
- TeX
- Terra
- TypeScript
- Vala
- Vim Script
- Vue
- YARA
- Zeek
Relax! Flux is the ML library that doesn't make you tensor
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Interactive data visualizations and plotting in Julia
🧞The highly productive Julia web framework
Bayesian inference with probabilistic programming.
Crafty statistical graphics for Julia.
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Package to call Python functions from the Julia language
Unicode-based scientific plotting for working in the terminal
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
The perfect sidekick to your scientific inquiries
Agent-based modeling framework in Julia
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Julia implementation of Data structures
A framework for out-of-core and parallel execution
Physical quantities with arbitrary units
A benchmarking framework for the Julia language
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Fast, continuous interpolation of discrete datasets in Julia
Symbolic expressions, rewriting and simplification
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Compiles Julia code to a standalone library (experimental)