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Gensim

Stacks54

Followers64

+ 1

Votes0

Keras

Stacks923

Followers958

+ 1

Votes14

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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.

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Pros of Gensim

Pros of Keras

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5
Easy and fast NN prototyping
5
Quality Documentation
4
Supports Tensorflow and Theano backends

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Cons of Gensim

Cons of Keras

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3
Hard to debug

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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/

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What companies use Gensim?

What companies use Keras?

See which teams inside your own company are using Gensim or Keras.

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What tools integrate with Gensim?

What tools integrate with Keras?

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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

Gensim vs Keras

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Pros of Gensim

Pros of Keras

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Cons of Gensim

Cons of Keras

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What is Gensim?

What is Keras?

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What companies use Gensim?

What companies use Keras?

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What tools integrate with Gensim?

What tools integrate with Keras?

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