dataiku-research / cardinalLinks
A practical Active Learning python package with a strong focus on experiments.
☆51Updated 3 years ago
Alternatives and similar repositories for cardinal
Users that are interested in cardinal are comparing it to the libraries listed below
Sorting:
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Data Twinning☆25Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- ☆58Updated last year
- scikit-learn gradient-boosting-model interactions☆25Updated 2 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 3 years ago
- Vectorizers for a range of different data types☆103Updated 2 weeks ago
- Home of the PipeGraph extension to Scikit-Learn☆24Updated 7 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated 3 months ago
- Advanced random forest methods in Python☆58Updated last year
- Clustering for mixed-type data☆101Updated last year
- Batch shap calculations.☆31Updated 2 years ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆174Updated last month
- scikit-learn contrib estimators☆198Updated 2 weeks ago
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- Gradient boosting on steroids☆28Updated last year
- 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
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- ☆26Updated 6 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Multivariate Boosted TRee☆63Updated 3 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- A toolbox for fair and explainable machine learning☆55Updated last year
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- this repo might get accepted☆28Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆87Updated 2 years ago