Repository Index

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

• gbdt
• gbm
• machine-learning
• data-mining

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

• machine-learning
• decision-trees
• gradient-boosting
• gbm

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

• libgdx
• pathfinding
• steering-behaviors
• formation-motion

🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes

• data-structures
• database
• cpp
• research

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

Ensembles of decision trees in go/golang.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

• python
• machine-learning
• random-forest
• tensorflow

Go Scoring API for PMML

• golang
• pmml
• random-forest
• classification

Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University

• interpretability
• machine-learning
• contrastive-explanations
• foil

Golang Dynamic Decision Tree

• go
• golang
• decision-tree
• decison-trees

CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀

• cgo
• golang
• deep-learning
• gradient-boosting