capitalk / treelearn
Ensembles and Tree Learning Algorithms for Python
☆52Updated 11 years ago
Alternatives and similar repositories for treelearn:
Users that are interested in treelearn are comparing it to the libraries listed below
- Creates models to classify documents into categories☆66Updated 7 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Python wrapper for the Vowpal Wabbit machine learning library.☆53Updated 11 years ago
- ☆58Updated 9 years ago
- ☆36Updated 9 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 7 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Updated 3 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 9 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆99Updated 6 years ago
- loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess☆56Updated 7 years ago
- ☆35Updated 11 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 7 years ago
- Density Based Clustering (DeBaCl) Toolbox☆101Updated 4 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Bolt Online Learning Toolbox☆87Updated 13 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.☆126Updated 3 years ago
- Python package for modular Bayesian optimization☆134Updated 4 years ago
- Spearmint, without the gum☆42Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- A flexible and efficient С++ template library for dimension reduction☆232Updated 7 months ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- cache-friendly multithread matrix factorization☆87Updated 8 years ago
- Fast Ensembles of Sparse Trees☆38Updated 8 years ago