shftan / auditblackboxLinks
Data and code for the paper "Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation" presented at AAAI/ACM AIES 2018. https://arxiv.org/abs/1710.06169
☆9Updated 6 years ago
Alternatives and similar repositories for auditblackbox
Users that are interested in auditblackbox are comparing it to the libraries listed below
Sorting:
- simple customizable scoring systems in python☆40Updated last year
- Active Learning in R☆47Updated 8 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆14Updated 2 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last month
- ☆22Updated last month
- Demonstration of parametric bootstrap to find k for kmeans☆10Updated 5 years ago
- repair classifiers with disparate impact☆10Updated 6 years ago
- Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository☆25Updated 9 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006☆18Updated 12 years ago
- ☆31Updated 8 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- ☆32Updated 5 years ago
- Shirin's playgRound - exploring and playing with data in R☆18Updated 6 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- ☆34Updated 8 years ago
- Python and R: Writing Cross Language Tools (SciPy 2016 Talk)☆20Updated 9 years ago
- unsupervised multi-model fraud-detection algorithm √☆11Updated 9 years ago
- SigOpt's public R client☆14Updated last year
- Learning Discrete Bayesian Network Classifiers from Data☆20Updated last year
- Notes and code for the workshop "Rule-Based Models for Regression and Classification”☆12Updated 9 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Conformal prediction in R☆32Updated 5 years ago