brendanhasz / probflowLinks
A Python package for building Bayesian models with TensorFlow or PyTorch
☆175Updated 3 years ago
Alternatives and similar repositories for probflow
Users that are interested in probflow are comparing it to the libraries listed below
Sorting:
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- A scikit-learn compatible implementation of hyperband☆77Updated 5 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Learn Pyro through the M5 forecasting competition☆86Updated 5 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- Bayesian time series forecasting and decision analysis☆117Updated 2 years ago
- Statistical Rethinking with PyTorch and Pyro☆164Updated 3 months ago
- Advanced random forest methods in Python☆57Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 11 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Conformalized Quantile Regression☆284Updated 3 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Bayesian Additive Regression Trees For Python☆231Updated last year
- Distance correlation and related E-statistics in Python☆155Updated 11 months ago
- Probabilistic Gradient Boosting Machines☆156Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 8 months ago
- Bayesian Bandits☆68Updated last year
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- A density ratio estimator package for python using the KLIEP algorithm.☆108Updated 5 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 2 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆276Updated this week
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- legend☆207Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆99Updated 3 months ago