openml / Study-14Links
☆13Updated 3 years ago
Alternatives and similar repositories for Study-14
Users that are interested in Study-14 are comparing it to the libraries listed below
Sorting:
- Using Genetic Algorithms to aid Machine Learning☆18Updated 7 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago
- ☆25Updated 9 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- ☆69Updated 4 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- A tool that evolves small brains capable of scanning and classifying an image.☆14Updated 8 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago
- a feature engineering wrapper for sklearn☆51Updated 4 years ago
- ☆13Updated 8 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- ADENINE: A Data ExploratioN PipelINE☆15Updated 6 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Updated 4 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Parameter Importance according to OpenML☆13Updated 3 years ago
- Helpers for constructing scikit-learn grid search☆38Updated 5 years ago
- Homesite Kaggle☆30Updated 9 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Convolutional computer vision architectures that can be tuned by hyperopt.☆71Updated 11 years ago