gensim VS xgboost

Compare gensim vs xgboost 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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gensim xgboost
6 0
12,670 21,896
1.3% 1.3%
9.0 9.6
19 days ago 2 days ago
Python C++
GNU Lesser General Public License v2.1 only 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.

gensim

Posts with mentions or reviews of gensim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-22.

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 gensim 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

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

Keras - Deep Learning for humans

MLflow - Open source platform for the machine learning lifecycle

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.

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.