Repository Index

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

Natural Gradient Boosting for Probabilistic Prediction

• machine-learning
• gradient-boosting
• natural-gradients
• uncertainty-estimation

TensorFlow implementation of an arbitrary order Factorization Machine

• factorization-machines
• tensorflow
• research-project

Python package for Bayesian Machine Learning with scikit-learn API

• python
• bayesian-machine-learning
• machine-learning
• scikit-learn

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python

A tensorflow implementation of an HMM layer

• tensorflow
• tensorflow-hmm
• viterbi
• hmm