julia
Julia is a high-level language for numerical and scientific computing that compiles to fast native code.
HYSEN LABS DIRECTORY
Language tag · curated repositories and deep analysis.
Julia is a high-level language for numerical and scientific computing that compiles to fast native code.
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 equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Julia kernel for Jupyter
Interactive data visualizations and plotting in Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
🧞The highly productive Julia web framework
Bayesian inference with probabilistic programming.
A Julia machine learning framework
A general-purpose probabilistic programming system with programmable inference
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Automatically update function definitions in a running Julia session
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Extensible, Efficient Quantum Algorithm Design for Humans.
Please do not feed the models
Agent-based modeling framework in Julia
Distributed High-Performance Symbolic Regression in Julia
Elegant and Performant Deep Learning
A reinforcement learning package for Julia