argmaxml / conjugate_priorLinks
Implementation of the conjugate prior table for Bayesian Statistics
☆52Updated last year
Alternatives and similar repositories for conjugate_prior
Users that are interested in conjugate_prior are comparing it to the libraries listed below
Sorting:
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 4 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆189Updated 7 years ago
- ☆159Updated 3 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Updated 8 months ago
- scikit-learn-inspired time series☆201Updated last year
- ☆99Updated 7 years ago
- Repo for the ML_Insights python package☆153Updated 8 months ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- ☆64Updated 7 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Automatic differentiation + optimization☆101Updated 6 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Learn Pyro through the M5 forecasting competition☆86Updated 5 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆164Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆244Updated 5 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- ☆90Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- Time should be taken seer-iously☆318Updated 2 years ago