xgboost vs mlpack

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)

#Machine Learning #Gbdt #gbrt #Gbm #Distributed Systems #Xgboost

Source Code

xgboost.ai

mlpack

mlpack: a fast, header-only C++ machine learning library (by mlpack)

#Machine Learning #machine-learning-library #C++ #Deep Learning #nearest-neighbor-search #Regression #HacktoberFest #Scientific Computing

Source Code

mlpack.org

Docs

Our great sponsors

InfluxDB - Access the most powerful time series database as a service

Sonar - Write Clean C++ Code. Always.

SaaSHub - Software Alternatives and Reviews

Our great sponsors

xgboost		mlpack
	Project
6	Mentions	3
23,886	Stars	4,316
0.8%	Growth	2.2%
9.1	Activity	9.8
3 days ago	Latest Commit	7 days ago
C++	Language	C++
Apache License 2.0	License	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. The last one was on 2022-02-28.

xgboost VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022

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 2022-01-23.

What is the most used library for AI in C++ ?
3 projects | reddit.com/r/cpp_questions | 23 Jan 2022

mlpack is a great library for machine learning in C++. It's very fast and not too much of a learning curve.
Ensmallen: A C++ Library for Efficient Numerical Optimization
3 projects | news.ycombinator.com | 8 Dec 2021

This toolkit was originally part of the mlpack machine learning library (https://github.com/mlpack/mlpack) before it was split out into a separate, standalone effort.
Top 10 Python Libraries for Machine Learning
14 projects | dev.to | 9 Sep 2021

Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms

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

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

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.

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

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

xgboost vs Prophet

xgboost vs MLP Classifier

xgboost vs tensorflow

xgboost vs scikit-learn

mlpack vs mxnet