arogozhnikov / infiniteboost
InfiniteBoost: building infinite ensembles with gradient descent
☆184Updated 6 years ago
Alternatives and similar repositories for infiniteboost:
Users that are interested in infiniteboost are comparing it to the libraries listed below
- Just some of my kaggle scripts☆88Updated 9 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 6 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆84Updated 10 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- ☆30Updated 8 years ago
- Library for machine learning stacking generalization.☆117Updated 5 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆109Updated 7 years ago
- Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.☆83Updated 9 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 8 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- A stacked generalization framework. Built on top of scikit learn☆56Updated 2 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Updated 4 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆253Updated 4 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 3 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆183Updated last year
- ☆89Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 5 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago