black-box-model

There are 0 repository under black-box-model topic.

bgreenwell / pdp
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
r machine-learning partial-dependence-function partial-dependence-plot visualization black-box-model
Language:R 89
Stefan-Endres / shgo
Simplicial Homology Global Optimization
global-optimization clustering-algorithm science mathematics optimization black-box-optimization black-box black-box-model nonlinear-optimization nonlinear
Language:Python 44
DeepMarks / DNN-Watermarking
This repository was created as an implementation approach for a project on "Watermarking Deep Neural Networks".
deep-neural-networks deep-learning digital-watermarking keras-tensorflow wide-residual-networks black-box-model
Language:Python 23
qwqoro / ML-Talk
📄 [Talk] OFFZONE 2022 / ODS Data Halloween 2022: Black-box attacks on ML models + with use of open-source tools
adversarial-attacks adversarial-examples attack-model black-box-attacks black-box-model conference conference-talk evasion-attack evasion-attacks fast-track model-attack model-extraction model-inversion model-inversion-attack model-inversion-attacks talk talk-materials talk-notes talk-slides
Language:Jupyter Notebook 13
ShinKyuY / Understanding_Black_box_Predictions_via_Influence_Functions_tutorial_MNIST
Tiny Tutorial on https://arxiv.org/abs/1703.04730
influence understanding-neural-networks blackbox influence-functions black-box-model
Language:Jupyter Notebook 12
nphdang / FS-BBT
Black-box Few-shot Knowledge Distillation
black-box black-box-model computer-vision conditional-variational-autoencoder cvae data-augmentation data-generation deep-learning few-shot few-shot-classification few-shot-learning generative-model knowledge-distillation machine-learning mixup synthetic-images transfer-learning
Language:Python 10
nevoit / Synthesizing-Tabular-Data-using-GANs
Generative Adversarial Network (GAN) that can produce tabular samples given datasets, and build a general generative model that receives a black-box as a discriminator and can still generate samples from the tabular data.
black-box-model generative-adversarial-network tabular-data
Language:Python 4
mohitr7 / model-interpretability-for-machine-learning-models
Using LIME and SHAP for model interpretability of Machine Learning Black-box models.
lime shap model-interpretability model-interpretation random-forest python classification regression black-box-model
Language:Jupyter Notebook 2
datatrigger / interpretable_machine_learning
Getting explanations for predictions made by black box models.
interpretable-machine-learning interpretable-ml explainable-machine-learning explainability interpretability black-box-model shap shapley-additive-explanations lime feature-importance surrogate-models
Language:Jupyter Notebook 1
peymanrasouli / categorical_locality
Interpreting Categorical Data Classifiers using Explanation-based Locality
black-box-model categorical-data classification explainable-ai interpretable-machine-learning local-explanations surrogate-models xai
Language:JavaScript 0