OpenHotspot VS xgboost

Compare OpenHotspot vs xgboost and see what are their differences.

OpenHotspot

By ozylol

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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OpenHotspot xgboost
0 0
14 21,941
- 0.8%
0.0 9.6
over 4 years ago 5 days ago
C++ C++
- Apache License 2.0
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.

OpenHotspot

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

We haven't tracked posts mentioning OpenHotspot yet.
Tracking mentions began in Dec 2020.

xgboost

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

We haven't tracked posts mentioning xgboost yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

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

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

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.

mlpack - mlpack: a scalable C++ machine learning library --

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

Surprise - A Python scikit for building and analyzing recommender systems

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

H2O - 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.