bhargavvader / pycobraLinks
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
☆125Updated 5 years ago
Alternatives and similar repositories for pycobra
Users that are interested in pycobra are comparing it to the libraries listed below
Sorting:
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 2 months ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- ☆80Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- ☆98Updated 7 years ago
- ☆159Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆229Updated 4 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- Helpers for constructing scikit-learn grid search☆38Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Repo for the ML_Insights python package☆152Updated 4 months ago
- A consolidated package of small extensions to scikit-learn☆24Updated 2 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.☆41Updated 10 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆185Updated 6 years ago
- ☆69Updated 5 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 7 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago