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☆68Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- For calculating global feature importance using Shapley values.☆278Updated last week
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆174Updated last month
- ☆44Updated last month
- Experiments on Tabular Data Models☆279Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated 3 months ago
- Hopular: Modern Hopfield Networks for Tabular Data☆311Updated 3 years ago
- Interpret text data with LLMs (sklearn compatible).☆171Updated 3 weeks ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated 2 years ago
- ☆201Updated last week
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆125Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- The long missing library for python confidence intervals☆143Updated last year
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆237Updated 3 months ago
- A python package for benchmarking interpretability techniques on Transformers.☆213Updated last year
- 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
- Drift Detection for your PyTorch Models☆323Updated 3 years ago
- Effector - a Python package for global and regional effect methods☆117Updated 3 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆175Updated last year
- A novel approach for synthesizing tabular data using pretrained large language models☆324Updated 4 months ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆60Updated 2 weeks ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆170Updated 3 months ago
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago