neuro-ml / reskit
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
☆27Updated 7 years ago
Alternatives and similar repositories for reskit:
Users that are interested in reskit are comparing it to the libraries listed below
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Supporting notebooks and data from hypertools paper☆147Updated 6 years ago
- Jupyter notebook presentations with optional code visibility and no ugly elements☆67Updated 7 years ago
- ☆28Updated 7 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Helpers for constructing scikit-learn grid search☆37Updated 5 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 5 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 7 years ago
- Python solver for mixed-effects models☆98Updated 7 years ago
- Winning solution for the Kaggle "West Nile Virus" competition (2015)☆30Updated 9 years ago
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:☆29Updated 9 years ago
- run a multitude of classifiers on you data and get an AUC report☆68Updated last year
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Experiments for Jeremy Howard's deep learning courses☆39Updated 7 years ago
- Random fiddling stored in notebooks☆22Updated 7 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Deep learning tutorial for PyData☆85Updated 5 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated 11 months ago
- bayesian bootstrapping in python☆121Updated 2 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago