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
Repository Index
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🦉 Data Versioning and ML Experiments
- data-science
- machine-learning
- reproducibility
- data-version-control
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
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
ID3-based implementation of the ML Decision Tree algorithm
- rubyml
- decision-tree
- ruby
- machine-learning
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
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.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
- graph
- graph-sampling
- network-sampling
- random-walk
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
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
Go Scoring API for PMML
- golang
- pmml
- random-forest
- classification
Ruby Scoring API for PMML
- ruby-gem
- 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
Dijkstra algorithm solution in GameMaker (Studio 2) to find shortest path in graph between two points.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.