Stars
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 equat…
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Interactive data visualizations and plotting in Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Bayesian inference with probabilistic programming.
A general-purpose probabilistic programming system with programmable inference
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
Symbolic programming for the next generation of numerical software
Concise and beautiful algorithms written in Julia
Automatically update function definitions in a running Julia session
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Extensible, Efficient Quantum Algorithm Design for Humans.
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
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
The perfect sidekick to your scientific inquiries
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…