automl / pysmac
simple python interface to SMAC.
☆21Updated 6 years ago
Alternatives and similar repositories for pysmac:
Users that are interested in pysmac are comparing it to the libraries listed below
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- ☆69Updated 4 years ago
- ☆25Updated 8 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- ☆58Updated 9 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Implementation of Undecimated Fully Convolutional Neural Network for time series modeling☆39Updated 8 years ago
- Convolutional computer vision architectures that can be tuned by hyperopt.☆70Updated 10 years ago
- A collections of metrics and loss functions written in Theano.☆14Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Hyperparameter optimization for neural networks☆47Updated 11 years ago
- ☆15Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Dionis predictors blender☆10Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- predicting learning curves in python☆43Updated 7 years ago
- ☆30Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- ☆19Updated 7 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 2 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20Updated 7 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 10 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Kaggle Seizure Prediction Competition☆21Updated 8 years ago