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juliahub.com : ImplicitDifferentiation

Automatic differentiation of implicit functions

Registry - Source - Homepage - Documentation - JSON
purl: pkg:julia/ImplicitDifferentiation
Keywords: machine-learning, julia, autodiff, automatic-differentiation
License: MIT
Latest release: 6 months ago
First release: almost 2 years ago
Dependent packages: 5
Stars: 116 on GitHub
Forks: 7 on GitHub
Total Commits: 56
Committers: 2
Average commits per author: 28.0
Development Distribution Score (DDS): 0.161
More commit stats: commits.ecosyste.ms
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Last synced: 19 days ago

MacroModelling 0.1.36

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

ReliabilityOptimization 0.3.0

Reliability-based optimization
3 versions - Latest release: 3 months ago - 5 stars on GitHub

DifferentiableFrankWolfe 0.2.1

Differentiable wrapper for FrankWolfe.jl convex optimization routines
7 versions - Latest release: 4 months ago - 1 dependent package - 5 stars on GitHub

ParametrisedConvexApproximators 0.3.0

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE)...
5 versions - Latest release: 8 months ago - 8 stars on GitHub

DifferentiableFactorizations 0.2.1

Differentiable matrix factorizations using ImplicitDifferentiation.jl.
3 versions - Latest release: 8 months ago - 29 stars on GitHub