automl / pysmacLinks
simple python interface to SMAC.
☆21Updated 7 years ago
Alternatives and similar repositories for pysmac
Users that are interested in pysmac are comparing it to the libraries listed below
Sorting:
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Hyperparameter optimization for neural networks☆48Updated 12 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 10 years ago
- ☆69Updated 5 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Convolutional computer vision architectures that can be tuned by hyperopt.☆72Updated 11 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 7 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- a python implementation of Parametric t-SNE in Keras☆60Updated 7 years ago
- Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.☆82Updated 10 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- ☆30Updated 9 years ago
- Efficient distributed hyperparameter search library written in Python.☆74Updated 7 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Library for machine learning stacking generalization.☆117Updated 6 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated 2 years ago
- Creating a better validation set when test examples differ from training examples☆101Updated 9 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- ☆49Updated 7 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 9 years ago
- ☆99Updated 7 years ago