gensim VS CNTK

Compare gensim vs CNTK and see what are their differences.

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gensim CNTK
9 0
12,834 17,116
1.1% -0.0%
8.8 0.0
8 days ago 5 months ago
Python C++
GNU Lesser General Public License v2.1 only 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.

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 2022-01-17.

CNTK

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

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

What are some alternatives?

When comparing gensim and CNTK you can also consider the following projects:

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

tensorflow - An Open Source Machine Learning Framework for Everyone

MLflow - Open source platform for the machine learning lifecycle

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

Keras - Deep Learning for humans

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara

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

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