Platinum III
1,676 Elo
- #2,496 on the ladder
- ±0 today · −1 this week
- Peak 1,727
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.
lightgbm-org/LightGBM is #2,496 on the bestofgithub Elo ladder, in Platinum III, with a rating of 1,676 (−1 this week). It has 18,983 stars, 27 gained in the last week.
1,676 Elo
18,983
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.gitScalable, 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
brew install xgboostA hyperparameter optimization framework
git clone https://github.com/optuna/optuna.git🏅 Collection of Kaggle Solutions and Ideas 🏅
git clone https://github.com/faridrashidi/kaggle-solutions.gitInterview = 简历指南 + 算法题 + 八股文 + 源码分析
git clone https://github.com/apachecn/Interview.git:octocat: Machine Learning for Cyber Security
git clone https://github.com/jivoi/awesome-ml-for-cybersecurity.gitLoading README…