automl / HPOlib
HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.
☆166Updated 6 years ago
Alternatives and similar repositories for HPOlib:
Users that are interested in HPOlib are comparing it to the libraries listed below
- Exploring differentiation with respect to hyperparameters☆294Updated 9 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 7 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- Breze with all the stuff.☆96Updated 8 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Scikit-learn compatible tools using theano☆363Updated 7 years ago
- Convolutional computer vision architectures that can be tuned by hyperopt.☆70Updated 10 years ago
- Python package for modular Bayesian optimization☆134Updated 4 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- ☆69Updated 4 years ago
- Future Gadget Laboratory☆223Updated 6 years ago
- A library that allows serialization of SciKit-Learn estimators into PMML☆70Updated 5 years ago
- Hyperparameter optimization for neural networks☆47Updated 11 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Code for Mondrian Forests (for classification and regression)☆264Updated 8 years ago
- Future Gadget Machine☆69Updated 6 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- ☆35Updated 10 years ago
- Compiled Decision Trees for scikit-learn☆223Updated 8 months ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- ☆36Updated 9 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 7 years ago
- Deep Learning Package base on Theano☆103Updated 8 years ago
- Bayesian supervised learning in Python☆21Updated 9 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Updated 3 years ago
- Automatically exported from code.google.com/p/sofia-ml☆60Updated 4 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago