Pinned Repositories
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, Dask, Flink and DataFlow
CategoricalAnalysis
Analysis of Categorical Encodings for dense Decision Trees
ez_xgb
Easy xgboost installation for R users (no recursive)
gbt_benchmarks
Gradient Boosted Trees Mega Benchmark
Laurae
Advanced High Performance Data Science Toolbox for R by Laurae
LauraeDS
Laurae's Data Science R Package
lgbdl
LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
R_benchmarking
Benchmarking R and C++ for Machine Learning Metrics
sparsity
R package for loading/saving sparse matrices (dgCMatrix) to SVMlight (LibFM, xgboost, LightGBM, H2O, etc.)
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.
Laurae2's Repositories
Laurae2/lgbdl
LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
Laurae2/LauraeDS
Laurae's Data Science R Package
Laurae2/LauraeCE
Laurae's Cross-Entropy Optimization for R
Laurae2/ez_xgb
Easy xgboost installation for R users (no recursive)
Laurae2/ml-perf
Laurae2/xgbdl
xgboost Online Installer [ devtools::install_github("Laurae2/xgbdl") ]
Laurae2/Laurae2
Laurae's Simplified R - The sequel of Laurae Package
Laurae2/LauraeCpp
Parallel R for HPC on a Single Computer using C++
Laurae2/R_Installation
Fully setting up and installing R in Windows / Debian / Ubuntu (Version: 3.5.1)
Laurae2/LauraeParallel
Laurae's Parallel Load Balancing for R
Laurae2/xgblgb_compare
Comparing xgboost and LightGBM: compiler, CPU pinning
Laurae2/R_benchmarking
Benchmarking R and C++ for Machine Learning Metrics
Laurae2/Cbc.jl
Interface to the Coin-OR Cbc solver for mixed-integer programming
Laurae2/docker-brew-clearlinux
Dockerhub image snapshots for Clear Linux
Laurae2/GBM-adv-workshop-Bp19
Advanced GBM Workshop - Budapest, Nov 2019
Laurae2/keras
R Interface to Keras
Laurae2/LightGBM
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.
Laurae2/mallinfo
Memory allocation information from glibc
Laurae2/pbapply
:exclamation: This is a read-only mirror of the CRAN R package repository. pbapply — Adding Progress Bar to '*apply' Functions. Homepage: https://github.com/psolymos/pbapply Report bugs for this package: https://github.com/psolymos/pbapply/issues
Laurae2/PiBlynk
NodeJS and Python libraries for using Blynk APP on Raspberry Pi
Laurae2/pkgdown
Generate static html documentation for an R package
Laurae2/pygbm
Experimental Gradient Boosting Machines in Python with numba.
Laurae2/RInno
How to install local shiny apps
Laurae2/Rtsne
R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding
Laurae2/sapui5_walkthrough
SAPUI5 Walkthrough Tutorial Git Snapshot
Laurae2/stR
R's stR package without rgl nor X11 dependency
Laurae2/v8-3.14
v8-3.14 (without all the useless stuff from Git) for R
Laurae2/WindowsMT
R Windows Multithreading Package
Laurae2/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
Laurae2/xgboost-fast-hist-perf-lab
Deeper look into performance of tree_method='hist' for multi-core CPUs