AlexAndorra / advanced-gp-pydataLinks
☆12Updated 6 months ago
Alternatives and similar repositories for advanced-gp-pydata
Users that are interested in advanced-gp-pydata are comparing it to the libraries listed below
Sorting:
- MLflow logging for PyMC☆12Updated 2 months ago
- Bayesian Conjugate Models in Python☆31Updated 2 weeks ago
- Powerful add-ons for PyMC☆105Updated last week
- Presentation materials for PyMC Statespace☆22Updated 10 months ago
- The PyMC-Labs default project starter☆20Updated last week
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated this week
- Markov Chain Monte Carlo Visualization Tools☆25Updated 2 months ago
- ArviZ modular plotting☆18Updated this week
- Probabilistic Programming and Bayesian Computing with PyMC☆24Updated last year
- Exploring and eliciting probability distributions☆139Updated last week
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 7 months ago
- bayes-toolbox☆93Updated this week
- Python wrapper for nuts-rs☆160Updated this week
- A Beginner's Guide to Variational Inference☆15Updated 2 months ago
- ☆118Updated this week
- Educational resources☆104Updated 3 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆42Updated 3 years ago
- Gaussian Process Model Building Interface☆51Updated 3 months ago
- ☆18Updated 2 years ago
- ☆72Updated 6 years ago
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last week
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆72Updated last year
- ☆71Updated last month
- ☆11Updated 7 months ago
- Developing Hierarchical Models for Sports Analytics☆19Updated 4 months ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 3 years ago
- Simulation based calibration and generation of synthetic data.☆53Updated last week
- ☆21Updated 9 months ago