Updated 11 months ago

xgboost • Rank 34.6 • Science 64%

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

Updated 11 months ago

lightgbm • Rank 33.1 • Science 46%

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.

Updated 11 months ago

h2o • Rank 27.7 • Science 36%

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.

Updated 11 months ago

robusttrees • Science 28%

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Updated 11 months ago

https://github.com/atharvapathak/twitter_sentiment_analysis_project • Science 23%

Twitter sentiment analysis is the process of analyzing tweets posted on the Twitter platform to determine the overall sentiment expressed within them. It involves using natural language processing (NLP) and machine learning techniques to classify tweets.