julia
Julia is a high-level language for numerical and scientific computing that compiles to fast native code.
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Julia is a high-level language for numerical and scientific computing that compiles to fast native code.
Relax! Flux is the ML library that doesn't make you tensor
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Julia kernel for Jupyter
Interactive data visualizations and plotting in Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
🧞The highly productive Julia web framework
Bayesian inference with probabilistic programming.
Powerful convenience for Julia visualizations and data analysis
A Julia machine learning framework
A general-purpose probabilistic programming system with programmable inference
In-memory tabular data in 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 and automated transformations of differential equations
Compile your Julia Package
Unicode-based scientific plotting for working in the terminal
Symbolic programming for the next generation of numerical software
Package to call Python functions from the Julia language
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
CUDA programming in Julia.
Automatically update function definitions in a running Julia session