rhiever / sklearn-benchmarksLinks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
☆213Updated 8 years ago
Alternatives and similar repositories for sklearn-benchmarks
Users that are interested in sklearn-benchmarks are comparing it to the libraries listed below
Sorting:
- Advanced Scikit-learn training session☆118Updated 9 years ago
- Bayesian Optimization using xgboost and sklearn API☆225Updated 9 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 5 months ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆241Updated 7 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- ☆80Updated 9 years ago
- ☆190Updated 2 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 11 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆207Updated 7 years ago
- ☆160Updated 8 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆183Updated 2 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Bayesian Analysis in PyMC3.☆79Updated 11 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated 2 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- PCA that iteratively replaces missing data☆222Updated last year
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- ☆161Updated 4 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 6 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Scikit-Learn tutorials☆131Updated 7 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- Python solver for mixed-effects models☆97Updated 6 months ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 8 years ago
- Multiple correspondence analysis☆181Updated last week