rhiever / sklearn-benchmarks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
☆211Updated 7 years ago
Alternatives and similar repositories for sklearn-benchmarks:
Users that are interested in sklearn-benchmarks are comparing it to the libraries listed below
- Advanced Scikit-learn training session☆118Updated 8 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆129Updated 8 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- ☆160Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- ☆190Updated last year
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- Website and material for the FIXME course on Practical Machine Learning☆90Updated 7 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Python solver for mixed-effects models☆98Updated 7 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆171Updated 5 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆465Updated 3 weeks ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆265Updated 7 months ago
- ☆80Updated 8 years ago
- ☆162Updated 3 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- scikit-learn compatible projects☆410Updated 2 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆183Updated 2 years ago
- Repo for the ML_Insights python package☆150Updated last year
- Scikit-Learn tutorials☆129Updated 6 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- Some work on Kaggle data for fun☆64Updated 7 years ago
- A collection of tutorials on neural networks, using Theano☆222Updated 2 years ago