rapidsai / gputreeshap
☆97Updated 2 weeks ago
Alternatives and similar repositories for gputreeshap:
Users that are interested in gputreeshap are comparing it to the libraries listed below
- ALE Plots with python☆62Updated last year
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Probabilistic Gradient Boosting Machines☆149Updated last year
- Distributed XGBoost on Ray☆147Updated 9 months ago
- Python Accumulated Local Effects package☆165Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Performance estimation for time series forecasting tasks☆38Updated 4 years ago
- Probabilistic prediction with XGBoost.☆106Updated last week
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 6 months ago
- Efficient matrix representations for working with tabular data☆120Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Forecasting with Gradient Boosted Time Series Decomposition☆194Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆227Updated last week
- Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.☆44Updated 2 months ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Compare and ensemble models without retraining☆50Updated this week
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- An extension of LightGBM to probabilistic modelling☆297Updated 9 months ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆171Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Gradient Boosting With Piece-Wise Linear Trees☆152Updated 11 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆261Updated 2 weeks ago
- Advanced random forest methods in Python☆57Updated last year