brendanhasz / probflowLinks
A Python package for building Bayesian models with TensorFlow or PyTorch
☆176Updated 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 2 years ago
- Statistical Rethinking with PyTorch and Pyro☆166Updated 7 months ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 4 months ago
- Learn Pyro through the M5 forecasting competition☆86Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- Bayesian Additive Regression Trees For Python☆230Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆102Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆292Updated this week
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Bayesian Bandits☆68Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Conformalized Quantile Regression☆297Updated 3 years ago
- Advanced random forest methods in Python☆58Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- legend☆208Updated 2 years ago
- Improved TabNet for TensorFlow☆53Updated 3 years ago
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 2 months ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆273Updated 3 years ago
- Causal Graphical Models in Python☆250Updated 2 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago