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
47,133 repositories indexed
1–24 of 28 · Most stars
🦉 Data Versioning and ML Experiments
- data-science
- machine-learning
- reproducibility
- data-version-control
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
- adaboost
- logistic
- svm
- smo
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
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
Behavior Trees Library in C++. Batteries included.
🐝 behavior tree AI for Godot Engine
LimboAI - Behavior Trees and State Machines for Godot 4
- behavior-tree
- godot-engine
- game-developement
- state-machines
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
ID3-based implementation of the ML Decision Tree algorithm
- rubyml
- decision-tree
- ruby
- machine-learning
Train a deep learning net with OpenStreetMap features and satellite imagery.
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
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
🏅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
A curated list of Monte Carlo tree search papers with implementations.
- tree-search
- learning
- machine-learning
- deep-learning
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
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