jaxopt-v0.1
Classes
- jaxopt.AndersonAcceleration
- jaxopt.AndersonWrapper
- jaxopt.Bisection
- jaxopt.BlockCoordinateDescent
- jaxopt.FixedPointIteration
- jaxopt.GradientDescent
- jaxopt.MirrorDescent
- jaxopt.OptaxSolver
- jaxopt.PolyakSGD
- jaxopt.ProjectedGradient
- jaxopt.ProximalGradient
- jaxopt.QuadraticProgramming
- jaxopt.ScipyBoundedLeastSquares
- jaxopt.ScipyBoundedMinimize
- jaxopt.ScipyLeastSquares
- jaxopt.ScipyMinimize
- jaxopt.ScipyRootFinding
- Implicit differentiation
Examples
- Binary kernel SVM with intercept.
- Image classification example with Flax and JAXopt.
- Image classification example with Haiku and JAXopt.
- VAE example with Haiku and JAXopt.
- Implicit differentiation of lasso.
- Multiclass linear SVM (without intercept).
- Non-negative matrix factorizaton (NMF) using alternating minimization.
- Dataset distillation.
- Implicit differentiation of ridge regression.
- Robust training.
- Anderson acceleration of gradient descent.
- Anderson acceleration of block coordinate descent.
- Anderson acceleration in application to Picard–Lindelöf theorem.
Contributors
Fabian Pedregosa, Felipe Llinares, Robert Gower, Louis Bethune, Marco Cuturi, Mathieu Blondel, Peter Hawkins, Quentin Berthet, Roy Frostig, Ta-Chu Kao