JakeColtman / bartpy
Bayesian Additive Regression Trees For Python
☆221Updated last year
Alternatives and similar repositories for bartpy:
Users that are interested in bartpy are comparing it to the libraries listed below
- Causal Graphical Models in Python☆245Updated 2 years ago
- Python package for causal inference using Bayesian structural time-series models.☆238Updated 4 years ago
- Time should be taken seer-iously☆314Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- ☆102Updated this week
- Bayesian time series forecasting and decision analysis☆116Updated last year
- Python package for Imputation Methods☆245Updated last year
- Python Accumulated Local Effects package☆163Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Some notes on Causal Inference, with examples in python☆150Updated 4 years ago
- Python implementation of the rulefit algorithm☆414Updated last year
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Examples of PyMC models, including a library of Jupyter notebooks.☆310Updated this week
- Probabilistic Gradient Boosting Machines☆145Updated last year
- DoubleML - Double Machine Learning in Python☆550Updated this week
- Functional Data Analysis Python package☆316Updated this week
- Probabilistic prediction with XGBoost.☆105Updated this week
- Distance correlation and related E-statistics in Python☆147Updated 5 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆344Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 2 months ago
- Python package for missing-data imputation with deep learning☆144Updated 5 months ago
- Causal Inference in Python☆559Updated 4 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆257Updated this week
- Python package for causal discovery based on LiNGAM.☆402Updated last month
- A Python package for modular causal inference analysis and model evaluations☆755Updated 6 months ago
- Python port of CausalImpact R library☆280Updated 9 months ago