bayesian / boostingLinks
Fast implementation of Gradient Boosting Machine (GBM) training algorithm.
☆10Updated 5 years ago
Alternatives and similar repositories for boosting
Users that are interested in boosting are comparing it to the libraries listed below
Sorting:
- ☆30Updated 9 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 9 years ago
- Deep learning made easy☆116Updated 11 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Amazon access control challenge☆25Updated 11 years ago
- Kaggle Otto Group Product Classification Challenge☆35Updated 10 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- Deep neural network implemented with gnumpy/cudamat☆16Updated 11 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- Homesite Kaggle☆30Updated 9 years ago
- Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose…☆26Updated 11 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- ☆25Updated 3 years ago
- Solution to the Higgs Boson Machine Learning Challenge on Kaggle☆32Updated 10 years ago
- ☆17Updated 9 years ago
- Denoising Autoencoder wrapper (from Theano) to sklearn (scikit learn)☆8Updated 9 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Explore different deep-learning frameworks☆18Updated 7 years ago
- Right whale recognition☆55Updated 9 years ago
- ☆36Updated 10 years ago
- Introduction tutorials to deep learning with Theano and OpenDeep☆51Updated 9 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Slides for quick intro to machine learning with sklearn☆66Updated 11 years ago
- An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most power…☆137Updated 7 years ago
- ☆35Updated 12 years ago
- Hyperparameter optimization for neural networks☆48Updated 11 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Updated 9 years ago
- A helper library for data science pipeline☆36Updated 6 years ago