GitHub topics: black-box-model
codaclizard/Expanding-Knowledge-on-ML-Explainable-Models-for-Smarter-Decisions
This repository presents a comprehensive research paper exploring the role of Explainable Artificial Intelligence (XAI) in modern Machine Learning. It aims to shed light on the interpretability of 'black-box' models like Neural Networks, Explainable AI and highlights the need for transparent, human-understandable ML systems.
Size: 418 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

bgreenwell/pdp
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Language: R - Size: 66.1 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 96 - Forks: 13

Stefan-Endres/shgo
Simplicial Homology Global Optimization
Language: Python - Size: 42.2 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 51 - Forks: 12

ShinKyuY/Understanding_Black_box_Predictions_via_Influence_Functions_tutorial_MNIST
Tiny Tutorial on https://arxiv.org/abs/1703.04730
Language: Jupyter Notebook - Size: 5.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 2

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.
Language: Python - Size: 2.32 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

nphdang/FS-BBT
Black-box Few-shot Knowledge Distillation
Language: Python - Size: 40.3 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 1

peymanrasouli/categorical_locality
Interpreting Categorical Data Classifiers using Explanation-based Locality
Language: JavaScript - Size: 161 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

qwqoro/ML-Talk
📄 [Talk] OFFZONE 2022 / ODS Data Halloween 2022: Black-box attacks on ML models + with use of open-source tools
Language: Jupyter Notebook - Size: 8.65 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

datatrigger/interpretable_machine_learning
Getting explanations for predictions made by black box models.
Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
