Ecosyste.ms: Packages

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Top 6.6% on juliahub.com
Top 2.1% forks on juliahub.com

juliahub.com : OptimizationNLopt

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/OptimizationNLopt
Keywords: mixed-integer-programming, hacktoberfest, global-optimization, local-optimization, optimization, automatic-differentiation, convex-optimization, scientific-machine-learning, nonlinear-optimization, algorithmic-differentiation, sciml, derivative-free-optimization, julia
License: MIT
Latest release: over 3 years ago
First release: over 1 year ago
Dependent packages: 4
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: about 15 hours ago

EasyModelAnalysis 1.0.0 💰

High level functions for analyzing the output of simulations
16 versions - Latest release: 16 days ago - 81 stars on GitHub

MacroModelling 0.1.36

Macros and functions to work with DSGE models.
37 versions - Latest release: 2 months ago - 45 stars on GitHub

MaxEntropyGraphs 0.4.0

Julia implementation of maximum entropy graph models
2 versions - Latest release: 2 months ago - 2 stars on GitHub

MessyTimeSeriesOptim 0.2.3

A Julia implementation of estimation and validation algorithms for time series compatible with in...
13 versions - Latest release: 4 months ago - 6 stars on GitHub