Ecosyste.ms: Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

Top 7.5% on juliahub.com
Top 2.1% forks on juliahub.com

juliahub.com : OptimizationOptimisers

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 interface.

Registry - Source - Homepage - Documentation - JSON
purl: pkg:julia/OptimizationOptimisers
Keywords: nonlinear-optimization, mixed-integer-programming, scientific-machine-learning, hacktoberfest, convex-optimization, derivative-free-optimization, automatic-differentiation, global-optimization, local-optimization, optimization, julia, sciml, algorithmic-differentiation
License: MIT
Latest release: over 3 years ago
First release: over 1 year ago
Dependent packages: 6
Stars: 655 on GitHub
Forks: 71 on GitHub
Total Commits: 1255
Committers: 63
Average commits per author: 19.921
Development Distribution Score (DDS): 0.579
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 2 days ago

ContinuousNormalizingFlows 0.22.3
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
35 versions - Latest release: 5 days ago - 21 stars on GitHub
RetentionParameterEstimator 0.1.9
Estimation of thermodynamic parameters for the interaction of analytes with a stationary phase in...
10 versions - Latest release: 9 days ago - 1 stars on GitHub
Top 6.0% on juliahub.com
NeuralPDE 5.16.0 💰
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientifi...
64 versions - Latest release: about 1 month ago - 3 dependent packages - 911 stars on GitHub
SphereUDE 0.1.1
A Julia package for regression in the sphere based on Universal Differential Equations
2 versions - Latest release: 3 months ago - 0 stars on GitHub
Sophon 0.3.2 removed
Neural networks and neural operators for physics-informed machine learning
22 versions - Latest release: over 1 year ago
Top 7.5% on juliahub.com
OptimizationPolyalgorithms 0.2.0 💰
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
4 versions - Latest release: over 3 years ago - 2 dependent packages - 655 stars on GitHub