Allardvm

Utrecht, The Netherlands

Pinned Repositories

AgentBased.jl
High performance parallel Agent-Based Modelling framework for Julia.
Language:Julia4 2 00
ArtBooster.jl
ArtBooster.jl turns images into abstract figures by predicting their features with a gradient booster in real-time.
Language:Julia00
ImageMagick.jl
Thin Wrapper for the library ImageMagick
Language:Julia0 0 00
LightGBM
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Language:C++0 0 00
LightGBM.jl
LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.
Language:Julia40 1 79
xgboost
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, Flink and DataFlow
Language:C++0 0 00
XGBoost.jl
XGBoost Julia Package
Language:Julia1 0 01
atom-material-syntax
A syntax theme for Atom Material UI
Language:CSS252 18 89143
XGBoost.jl
XGBoost Julia Package
Language:Julia289 26 112110
LightGBM
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.
Language:C++16.7k 434 3.4k3.8k

Allardvm/LightGBM.jl
LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.
Language:Julia40 1 79
Allardvm/AgentBased.jl
High performance parallel Agent-Based Modelling framework for Julia.
Language:Julia4 2 00
Allardvm/XGBoost.jl
XGBoost Julia Package
Language:Julia1 0 01
Allardvm/ArtBooster.jl
ArtBooster.jl turns images into abstract figures by predicting their features with a gradient booster in real-time.
Language:Julia00
Allardvm/ImageMagick.jl
Thin Wrapper for the library ImageMagick
Language:Julia0 0 00
Allardvm/LightGBM
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Language:C++0 0 00
Allardvm/xgboost
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, Flink and DataFlow
Language:C++0 0 00