Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
- gbdt
- gbrt
- gbm
- distributed-systems
Repository Index
47,133 repositories indexed
1–18 of 18 · Most stars
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
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.
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
Scalable machine 🤖 learning for time series forecasting.
- forecast
- forecasting
- machine-learning
- lightgbm
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Native Windows video motion capture with ExMR, FlowHMR and GVHMR, contact correction, humanoid retargeting, and FBX/VMD export.
High performance gradient boosting for Ruby
- machine-learning
- lightgbm
- rubyml
Tilemap GB - Console App - AND - GIMP plugin for importing & exporting Game Boy game tilemaps and tilesets (as bitmap images or .GBM/.GBR files. Related tools: GBTD, GBMB, GBDK, Zal0-ZGB)
- gameboy
- tilemap
- tiled-map-editor
- tilesets
Ruby Scoring API for PMML
- ruby-gem
- pmml
- random-forest
- classification
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.