pyensemble / wildwoodLinks
Advanced random forest methods in Python
☆58Updated 2 years ago
Alternatives and similar repositories for wildwood
Users that are interested in wildwood are comparing it to the libraries listed below
Sorting:
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- 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☆177Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 2 weeks ago
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 3 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- Probabilistic Random Forest: A machine learning algorithm for noisy datasets☆130Updated 2 years ago
- Code for performing various projection pursuit routines☆36Updated 3 years ago
- Data Twinning☆25Updated 3 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆298Updated last week
- Probabilistic Gradient Boosting Machines☆157Updated last year
- A Python library for machine-learning and feedback loops on streaming data☆64Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Updated 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 3 years ago
- Mapper implementation (Topological Data Analysis) in Python☆65Updated 7 years ago
- scikit-learn contrib estimators☆199Updated 2 weeks ago
- Elo ratings for global black box derivative-free optimizers☆142Updated 11 months ago
- Multivariate Boosted TRee☆63Updated 3 years ago
- Fast and modular sklearn replacement for generalized linear models☆191Updated 4 months ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 3 years ago
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- Vectorizers for a range of different data types☆103Updated 3 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 4 years ago
- Explaining dimensionality results using SHAP values☆55Updated 3 weeks ago
- Distance correlation and related E-statistics in Python☆158Updated 2 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)☆72Updated last week
- Random Forest or XGBoost? It is Time to Explore LCE☆70Updated 2 years ago
- ☆150Updated 2 months ago