Emerald IV
1,782 Elo
- #1,520 on the ladder
- +1 today · −48 this week
- Peak 1,895
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
dmlc/xgboost is #1,520 on the bestofgithub Elo ladder, in Emerald IV, with a rating of 1,782 (−48 this week). It has 28,976 stars, 19 gained in the last week.
1,782 Elo
28,976
brew install xgboostA 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.
git clone https://github.com/lightgbm-org/LightGBM.gitA 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.
git clone https://github.com/catboost/catboost.gitPython for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
git clone https://github.com/MingchaoZhu/DeepLearning.gitLoading README…