gedeck / mistatLinks
Modern Industrial Statistics: with applications in Python, 3rd edition
☆9Updated 7 months ago
Alternatives and similar repositories for mistat
Users that are interested in mistat are comparing it to the libraries listed below
Sorting:
- Website: Data Umbrella & PyMC open source sessions☆26Updated last year
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆24Updated 6 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated 2 weeks ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Supporting material for the book club☆15Updated 2 years ago
- A visual labeling system implemented in Jupyter widgets.☆11Updated last year
- Libraries for Scientific Computing☆10Updated 6 years ago
- ☆8Updated 2 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆17Updated 7 years ago
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated 4 months ago
- ☆41Updated 3 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 3 years ago
- A mixture density network, by PyTorch, for scikit-learn☆22Updated 6 months ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 11 months ago
- JupyterLab renderer of dagitty causal diagrams☆23Updated last year
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 11 months ago
- ☆45Updated 5 years ago
- Simulation based calibration and generation of synthetic data.☆51Updated 2 months ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- ☆34Updated last year
- Gaussian Process Model Building Interface☆50Updated 2 months ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- A pedagogical implementation of panel apps served up on a remote machine.☆14Updated 3 years ago
- PyData London 2022 Tutorial☆66Updated 2 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆19Updated 2 weeks ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Miscellaneous repository for code content related to my Medium posts.☆8Updated 4 years ago
- Efficient matrix representations for working with tabular data☆121Updated last week
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year