xgboost VS mlpack

Compare xgboost vs mlpack and see what are their differences.

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 (by dmlc)
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xgboost mlpack
1 2
22,091 3,879
0.9% 0.8%
9.6 9.8
7 days ago 4 days ago
C++ C++
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

xgboost

Posts with mentions or reviews of xgboost. We have used some of these posts to build our list of alternatives and similar projects.

mlpack

Posts with mentions or reviews of mlpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

What are some alternatives?

When comparing xgboost and mlpack you can also consider the following projects:

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

SHOGUN - Shōgun

catboost - A 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.

Caffe - Caffe: a fast open framework for deep learning.

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

MLflow - Open source platform for the machine learning lifecycle

scikit-learn - scikit-learn: machine learning in Python

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more