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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.
Powerful convenience for Julia visualizations and data analysis
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…
Package to call Python functions from the Julia language
Automatically update function definitions in a running Julia session
A Julia package for probability distributions and associated functions.
Forward Mode Automatic Differentiation for Julia
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
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
The perfect sidekick to your scientific inquiries
Agent-based modeling framework in Julia
Additional exercises and data for EE364a. No solutions; for public consumption.
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Physical quantities with arbitrary units