yandex / repLinks
Machine Learning toolbox for Humans
☆696Updated 10 months ago
Alternatives and similar repositories for rep
Users that are interested in rep are comparing it to the libraries listed below
Sorting:
- Rapid Machine Learning Prototyping in Python☆652Updated 9 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆953Updated last year
- Data sets for machine learning in Python☆474Updated 7 years ago
- Describing statistical models in Python using symbolic formulas☆968Updated last week
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆555Updated last week
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆467Updated 3 months ago
- Some sample IPython notebooks for scikit-learn☆568Updated last year
- Tools for exploratory data analysis in Python☆646Updated last year
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- Compiled Decision Trees for scikit-learn☆224Updated last month
- PyStan, the Python interface to Stan☆927Updated 4 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- NeuPy is a Tensorflow based python library for prototyping and building neural networks☆737Updated 7 months ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆519Updated 3 years ago
- A library for defensive data analysis.☆500Updated 5 years ago
- optimization routines for hyperparameter tuning☆420Updated last year
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- ☆760Updated last year
- A data pipeline framework for machine learning☆869Updated 2 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 7 years ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Standard evaluations for binary classifiers so you don't have to☆315Updated 6 years ago
- A set of useful tools for competitive data science.☆551Updated 2 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆461Updated last year
- Simple, realtime visualization of neural network training performance.☆423Updated 8 years ago
- Framework for setting up predictive analytics services☆488Updated 2 years ago
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 4 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆182Updated 2 years ago