LICENSE
MANIFEST.in
README.md
setup.py
examples/.ipynb_checkpoints/1. Hyperparameter Optimization-checkpoint.ipynb
examples/Adversarial Examples/1. SVM NIST Dataset (Adversarial Attack).ipynb
examples/Adversarial Examples/2. SVM NIST Dataset (One Pixel Attack).ipynb
examples/Adversarial Examples/3. SVM NIST Dataset (Adversarial Examples) Multiple Targets.ipynb
examples/Adversarial Examples/.ipynb_checkpoints/1. SVM NIST Dataset (Adversarial Attack)-checkpoint.ipynb
examples/Adversarial Examples/.ipynb_checkpoints/2. SVM NIST Dataset (One Pixel Attack)-checkpoint.ipynb
examples/Adversarial Examples/.ipynb_checkpoints/3. SVM NIST Dataset (Adversarial Examples) Multiple Targets-checkpoint.ipynb
examples/Adversarial Examples/data/n_evals_bfgs.npy
examples/Adversarial Examples/data/no_misclassified_bfgs.npy
examples/Adversarial Examples/data/no_misclassified_grAdapt.npy
examples/Adversarial Examples/data/x_bfgs_perturbation.npy
examples/Adversarial Examples/data/y_bfgs_loss.npy
examples/Adversarial Examples/data/y_grAdapt_loss.npy
examples/Adversarial Examples/plots/bfgs_0.pdf
examples/Adversarial Examples/plots/bfgs_1.pdf
examples/Adversarial Examples/plots/bfgs_10.pdf
examples/Adversarial Examples/plots/bfgs_11.pdf
examples/Adversarial Examples/plots/bfgs_12.pdf
examples/Adversarial Examples/plots/bfgs_13.pdf
examples/Adversarial Examples/plots/bfgs_14.pdf
examples/Adversarial Examples/plots/bfgs_15.pdf
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examples/Adversarial Examples/plots/bfgs_17.pdf
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examples/Clustering/Variance Minimization.ipynb
examples/Clustering/.ipynb_checkpoints/Variance Minimization-checkpoint.ipynb
examples/Clustering/plots/grAdapt_solution.pdf
examples/Clustering/plots/grAdapt_solution_gpr.pdf
examples/Clustering/plots/grAdapt_solution_nogradient.pdf
examples/Clustering/plots/grAdapt_solution_nomodel.pdf
examples/Clustering/plots/grAdapt_solution_nomodel_amsgrad.pdf
examples/Clustering/plots/kmeans_solution.pdf
examples/Clustering/plots/loss_variance_minimization.pdf
examples/Clustering/plots/loss_variance_minimization_amsgrad.pdf
examples/Differential Equations/1. Snowball Rolling.ipynb
examples/Differential Equations/.ipynb_checkpoints/1. Snowball Rolling-checkpoint.ipynb
examples/Differential Equations/plots/loss_iteration.pdf
examples/Differential Equations/plots/mass_iteration.pdf
examples/Differential Equations/plots/objective.pdf
examples/Hyperparameter Optimization/1. k-Nearest Neighbors.ipynb
examples/Hyperparameter Optimization/2. Support Vector Machine.ipynb
examples/Hyperparameter Optimization/.ipynb_checkpoints/1. k-Nearest Neighbors-checkpoint.ipynb
examples/Hyperparameter Optimization/.ipynb_checkpoints/2. Support Vector Machine-checkpoint.ipynb
examples/Hyperparameter Optimization/plots/knn/training_k.pdf
examples/Hyperparameter Optimization/plots/knn/training_k_acc.pdf
examples/Hyperparameter Optimization/plots/knn/training_objective.pdf
examples/Hyperparameter Optimization/plots/knn/trainingloss.pdf
examples/Hyperparameter Optimization/plots/svm/3dplot.pdf
examples/Hyperparameter Optimization/plots/svm/training_c.pdf
examples/Hyperparameter Optimization/plots/svm/training_gamma.pdf
examples/Hyperparameter Optimization/plots/svm/training_kernel.pdf
examples/Hyperparameter Optimization/plots/svm/trainingloss.pdf
examples/Sample Notebooks/1. Test on Optimizers.ipynb
examples/Sample Notebooks/.ipynb_checkpoints/1. Test on Optimizers-checkpoint.ipynb
grAdapt/__init__.py
grAdapt.egg-info/PKG-INFO
grAdapt.egg-info/SOURCES.txt
grAdapt.egg-info/dependency_links.txt
grAdapt.egg-info/requires.txt
grAdapt.egg-info/top_level.txt
grAdapt/datasets/__init__.py
grAdapt/datasets/testfunctions/__init__.py
grAdapt/datasets/testfunctions/bivariate.py
grAdapt/datasets/testfunctions/multivariate.py
grAdapt/escape/CMAES.py
grAdapt/escape/MatyasNormalDistribution.py
grAdapt/escape/MaxStandardDeviation.py
grAdapt/escape/NormalDistribution.py
grAdapt/escape/NormalDistributionDecay.py
grAdapt/escape/StandardNormalDistribution.py
grAdapt/escape/UniformDistribution.py
grAdapt/escape/__init__.py
grAdapt/escape/base.py
grAdapt/models/Sequential.py
grAdapt/models/__init__.py
grAdapt/optimizer/ADAMBisection.py
grAdapt/optimizer/AMSGradBisection.py
grAdapt/optimizer/AdaGradBisection.py
grAdapt/optimizer/AdaMaxBisection.py
grAdapt/optimizer/AdamBisection.py
grAdapt/optimizer/GradientDescentBisection.py
grAdapt/optimizer/MomentumBisection.py
grAdapt/optimizer/RMSPropBisection.py
grAdapt/optimizer/__init__.py
grAdapt/optimizer/base.py
grAdapt/sampling/__init__.py
grAdapt/sampling/equidistributed/Density.py
grAdapt/sampling/equidistributed/KDistance.py
grAdapt/sampling/equidistributed/KDistanceMean.py
grAdapt/sampling/equidistributed/MaximalMinDistance.py
grAdapt/sampling/equidistributed/Mitchell.py
grAdapt/sampling/equidistributed/Reassignment.py
grAdapt/sampling/equidistributed/__init__.py
grAdapt/sampling/equidistributed/base.py
grAdapt/sampling/initializer/Uniform.py
grAdapt/sampling/initializer/Vertices.py
grAdapt/sampling/initializer/VerticesForce.py
grAdapt/sampling/initializer/VerticesForceRandom.py
grAdapt/sampling/initializer/__init__.py
grAdapt/sampling/initializer/base.py
grAdapt/space/__init__.py
grAdapt/space/datatype/Categorical.py
grAdapt/space/datatype/Float.py
grAdapt/space/datatype/Integer.py
grAdapt/space/datatype/Nominal.py
grAdapt/space/datatype/Ordinal.py
grAdapt/space/datatype/__init__.py
grAdapt/space/datatype/base.py
grAdapt/space/transformer/Transformer.py
grAdapt/space/transformer/__init__.py
grAdapt/surrogate/GPR.py
grAdapt/surrogate/NoGradient.py
grAdapt/surrogate/NoModel.py
grAdapt/surrogate/RBFRegression.py
grAdapt/surrogate/TaylorSeriesExpansion.py
grAdapt/surrogate/__init__.py
grAdapt/surrogate/base.py
grAdapt/surrogate/kernels.py
grAdapt/utils/__init__.py
grAdapt/utils/misc.py
grAdapt/utils/sampling.py
grAdapt/utils/math/__init__.py
grAdapt/utils/math/geometry.py
grAdapt/utils/math/linalg.py
grAdapt/utils/math/spatial.py
tests/basic.py
tests/changing_kernels.py
tests/load_checkpoint.py
tests/maximize.py
tests/run_all.py
tests/slidingWindow.py
tests/training_continuation.py
tests/utils.py
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