AnotherSamWilson / fastshapLinks
Batch shap calculations.
☆31Updated 2 years ago
Alternatives and similar repositories for fastshap
Users that are interested in fastshap are comparing it to the libraries listed below
Sorting:
- TabNet for fastai☆124Updated 3 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated 11 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆65Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated last year
- Probabilistic Gradient Boosting Machines☆156Updated last year
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- SPEAR: Programmatically label and build training data quickly.☆107Updated last year
- Pipeline components that support partial_fit.☆46Updated last year
- Boosted neural network for tabular data☆216Updated last year
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 2 months ago
- Advanced random forest methods in Python☆57Updated last year
- Data Twinning☆25Updated 2 years ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- ☆202Updated 2 months ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆89Updated 3 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆73Updated last year
- ☆26Updated 5 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Clustering for mixed-type data☆99Updated last year
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated 3 weeks ago
- Easy Custom Losses for Tree Boosters using Pytorch☆34Updated 4 years ago
- Hopular: Modern Hopfield Networks for Tabular Data☆310Updated 3 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- A power-full Shapley feature selection method.☆210Updated last year
- Phi_K correlation analyzer library☆166Updated 2 weeks ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆55Updated 4 years ago
- Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle☆20Updated 4 years ago