simsal0r / mixture-of-decision-treesLinks
Mixture of Decision Trees for Interpretable Machine Learning
☆11Updated 4 years ago
Alternatives and similar repositories for mixture-of-decision-trees
Users that are interested in mixture-of-decision-trees are comparing it to the libraries listed below
Sorting:
- A Natural Language Interface to Explainable Boosting Machines☆69Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- ☆44Updated last month
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆18Updated 2 years ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆178Updated this week
- ☆201Updated last month
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated this week
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- For calculating global feature importance using Shapley values.☆279Updated last week
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago
- Interpret text data with LLMs (sklearn compatible).☆171Updated last month
- The long missing library for python confidence intervals☆143Updated last year
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆125Updated 2 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆174Updated last year
- Effector - a Python package for global and regional effect methods☆116Updated 3 months ago
- Experiments on Tabular Data Models☆282Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 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
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- ☆139Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- Boosted neural network for tabular data☆217Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆249Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆172Updated 2 weeks ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆227Updated 2 months ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated 2 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆61Updated last month
- Hopular: Modern Hopfield Networks for Tabular Data☆312Updated 3 years ago