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A library for differentiable nonlinear optimization
Created
2021-11-18
354 commits to main branch, last one 2 months ago
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Created
2022-04-08
262 commits to main branch, last one 5 months ago
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Created
2022-06-29
453 commits to main branch, last one 5 months ago
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
optimization
metaheuristics
global-optimization
bayesian-optimization
discrete-optimization
nonlinear-programming
black-box-optimization
nonlinear-optimization
evolutionary-algorithms
implicit-differentiation
interior-point-optimizer
semidefinite-programming
automatic-differentiation
augmented-lagrangian-method
gradient-based-optimisation
method-of-moving-asymptotes
derivative-free-optimization
surrogate-assisted-optimization
mixed-integer-nonlinear-programming
Created
2021-02-14
246 commits to master branch, last one 11 months ago
Macros and functions to work with DSGE models.
Created
2022-11-28
1,691 commits to main branch, last one 2 months ago
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
Created
2020-06-07
30 commits to master branch, last one 2 years ago
Differentiable matrix factorizations using ImplicitDifferentiation.jl.
Created
2022-07-20
12 commits to main branch, last one about a year ago