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Interactive data visualizations and plotting 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 a…
Unicode-based scientific plotting for working in the terminal
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
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…
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Graph-related recipes to be used with Plots.jl
Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization