Home
Utilities
Application Utilities
NLP / Sentiment Analysis

Gensim vs Keras

Need advice about which tool to choose?Ask the StackShare community!

Gensim
61
70
+ 1
0
Keras
984
1K
+ 1
20
Add tool

Gensim vs Keras: What are the differences?

What is Gensim? A python library for Topic Modelling. It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.

Gensim can be classified as a tool in the "NLP / Sentiment Analysis" category, while Keras is grouped under "Machine Learning Tools".

Gensim and Keras are both open source tools. It seems that Keras with 43.2K GitHub stars and 16.5K forks on GitHub has more adoption than Gensim with 9.65K GitHub stars and 3.52K GitHub forks.

StyleShare Inc., Home61, and Suggestic are some of the popular companies that use Keras, whereas Gensim is used by MailMine.io, Mho, and Avito. Keras has a broader approval, being mentioned in 70 company stacks & 257 developers stacks; compared to Gensim, which is listed in 3 company stacks and 5 developer stacks.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Gensim
Pros of Keras
    Be the first to leave a pro
    • 7
      Easy and fast NN prototyping
    • 7
      Quality Documentation
    • 6
      Supports Tensorflow and Theano backends

    Sign up to add or upvote prosMake informed product decisions

    Cons of Gensim
    Cons of Keras
      Be the first to leave a con
      • 3
        Hard to debug

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Gensim?

      It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

      What is Keras?

      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention Gensim and Keras as a desired skillset
      Account Manager - Data Centre Solutions - Farnborough
      CBRE
      United Kingdom of Great Britain and Northern Ireland England Farnborough
      View Job Details
      ageScheduleLINE+7
      Senior Product Manager - Core Enablement Platform
      CBRE
      United Kingdom of Great Britain and Northern Ireland England London
      View Job Details
      DreamFlair+2
      D&T Manager
      CBRE
      India Telangana Hyderabad
      View Job Details
      JavaScriptFlair+2
      Critical Facilities Manager
      CBRE
      Australia Victoria Melbourne
      View Job Details
      TransformersScope+2
      Critical Facilities Manager
      CBRE
      Australia Victoria Melbourne
      View Job Details
      TransformersScope+2
      What companies use Gensim?
      What companies use Keras?
      See which teams inside your own company are using Gensim or Keras.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Gensim?
      What tools integrate with Keras?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Gensim and Keras?
      NLTK
      It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
      FastText
      It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
      SpaCy
      It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      rasa NLU
      rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
      See all alternatives

      Related Comparisons

      Keras vs TensorFlow vs scikit-learnH2O vs Keras vs TensorFlowKeras vs PyTorch vs TensorFlowKeras vs TensorFlow vs TheanoGluon vs Keras vs TensorFlow

      Trending Comparisons

      Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

      Top Comparisons

      Postman vs Swagger UIHipChat vs Mattermost vs SlackBitbucket vs GitHub vs GitLabBootstrap vs Materialize