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
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Symbolica is a high-performance computer algebra library for Python and Rust. Manipulate large expressions, match patterns, and generate optimized numerical code — at unprecedented speed.
Wolfram Language / Mathematica reimplementation in Rust (Wolfram oxidized)
Distributed High-Performance Symbolic Regression in Julia