7 projects
JAX
JAX is a high-performance numerical computing and machine learning library that combines Numpy's familiar API with GPU and TPU hardware acceleration. It features automatic differentiation, just-in-time compilation, and enables writing transformable numerical programs.
Contributors
6,112
Organizations
1,124
Software value
$20M
Enzyme Automatic Differentiator
Enzyme is an automatic differentiation tool that performs reverse-mode AD by using LLVM compiler infrastructure to differentiate programs in languages like Julia, C/C++, and Fortran. It enables efficient gradient computation for machine learning and scientific computing applications.
Contributors
363
Organizations
128
Software value
$1.8M
ChainRules
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
This project hasn't been onboarded to LFX Insights.
SciMLBase
The Base interface of the SciML ecosystem
This project hasn't been onboarded to LFX Insights.
Zygote.jl
21st century AD
This project hasn't been onboarded to LFX Insights.