ericmjl / distributions
Central repository for my distributions figures
☆16Updated 6 years ago
Alternatives and similar repositories for distributions:
Users that are interested in distributions are comparing it to the libraries listed below
- ☆36Updated 6 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- ☆15Updated 6 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- A command line utility to create kernels in Jupyter from virtual environments.☆16Updated 7 years ago
- ☆28Updated 8 years ago
- ☆32Updated 7 years ago
- Simple validator for submissions to DrivenData competitions☆19Updated 5 years ago
- Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"☆19Updated 2 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 8 years ago
- Data exploration library with a pandas-like API☆74Updated 4 years ago
- Python implementation of R package breakDown☆42Updated last year
- My Jupyter notebook server☆19Updated 3 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- ☆30Updated 7 years ago
- Decorator for PyMC3☆50Updated 3 years ago
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 5 years ago
- Bayesian statistics seminars☆30Updated 8 years ago
- Conventionally parameterized probability distributions☆35Updated 7 months ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Python solver for mixed-effects models☆97Updated 7 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- %conda magic for IPython☆28Updated 8 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Presented at Scipy Conference 2019☆126Updated 5 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- ☆27Updated 5 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year