ustunb / slim-python
simple customizable scoring systems in python
☆40Updated last year
Alternatives and similar repositories for slim-python:
Users that are interested in slim-python are comparing it to the libraries listed below
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- ☆42Updated 6 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Python solver for mixed-effects models☆98Updated 7 years ago
- Continuous-time Markov model with discrete observations☆23Updated last year
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆28Updated 9 years ago
- Active Learning in R☆46Updated 7 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Dimensionality reduction for binary data☆50Updated 4 years ago
- ☆9Updated 4 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- Tutorial on Bayesian tests for Machine Learning☆76Updated 4 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 years ago
- Matrix tools for building and inspecting latent spaces☆27Updated 6 years ago
- Accompanying source code for "Runaway Feedback Loops in Predictive Policing"☆16Updated 7 years ago
- python tools to check recourse in linear classification☆75Updated 4 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- ☆31Updated 8 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 6 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Python implementation of R package breakDown☆42Updated last year
- Fast, principled L1-regularized loss minimization☆23Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆47Updated 7 years ago
- simple customizable risk scores in python☆136Updated last year
- ☆12Updated 3 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago