automl / HPOlibLinks
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
Sorting:
- Flexible Bayesian inference using TensorFlow☆142Updated 8 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆207Updated 7 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- Breze with all the stuff.☆96Updated 9 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Building random forests on GPU☆204Updated 8 years ago
- ☆35Updated 10 years ago
- Scikit-learn compatible tools using theano☆364Updated 8 years ago
- Convolutional computer vision architectures that can be tuned by hyperopt.☆72Updated 11 years ago
- Code for Mondrian Forests (for classification and regression)☆267Updated 9 years ago
- ☆36Updated 10 years ago
- Efficient distributed hyperparameter search library written in Python.☆74Updated 7 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- Compiled Decision Trees for scikit-learn☆227Updated 4 months ago
- ☆58Updated 9 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated 2 years ago
- ☆190Updated 2 years ago
- ☆157Updated 9 years ago
- ☆15Updated 9 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 6 years ago
- Hyperparameter optimization for neural networks☆48Updated 11 years ago