slds-lmu / iml_methods_limitationsLinks
Seminar on Limitations of Interpretable Machine Learning Methods
☆57Updated 4 years ago
Alternatives and similar repositories for iml_methods_limitations
Users that are interested in iml_methods_limitations are comparing it to the libraries listed below
Sorting:
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆99Updated last year
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆61Updated last week
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- ☆79Updated 4 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 2 years ago
- Code and documentation for experiments in the TreeExplainer paper☆185Updated 5 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated last year
- Causing: CAUsal INterpretation using Graphs☆58Updated 2 months ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 8 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Bayesian or-of-and☆35Updated 3 years ago
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 3 months ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Python implementation of iterative-random-forests☆66Updated last year
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 4 years ago
- The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…☆11Updated 2 years ago