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Gensim VS Theano

Compare Gensim VS Theano and see what are their differences

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  4. » Alternatives

Gensim logo Gensim

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

Theano logo Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.
  • Gensim Landing page
    Landing page //
    2023-01-23
  • Theano Landing page
    Landing page //
    2023-09-19

Gensim videos

+ Add

Word2Vec with Gensim - Python

More videos:

  • Review - Bhargav Srinivasa Desikan - Topic Modelling (and more) with NLP framework Gensim
  • Tutorial - How to Generate Custom Word Vectors in Gensim (Named Entity Recognition for DH 07)

Theano videos

+ Add

Theano 5 function 用法 (神经网络 教学教程tutorial)

Category Popularity

0-100% (relative to Gensim and Theano)

Gensim

Theano

Natural Language Processing
100 100%
Natural Language Processing
0% 0
Data Science And Machine Learning
37 37%
Data Science And Machine Learning
63% 63
Spreadsheets
100 100%
Spreadsheets
0% 0
AI
0 0%
AI
100% 100

User comments

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Social recommendations and mentions

Based on our record, Gensim seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Gensim mentions (9)

  • Understanding How Dynamic node2vec Works on Streaming Data
    This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝. - Source: dev.to / over 1 year ago
  • Is it home bias or is data wrangling for machine learning in python much less intuitive and much more burdensome than in R?
    Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling. Source: over 1 year ago
  • GET STARTED WITH TOPIC MODELLING USING GENSIM IN NLP
    Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;. - Source: dev.to / almost 2 years ago
  • [Research] Text summarization using Python, that can run on Android devices?
    TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: about 2 years ago
  • Topic modelling with Gensim and SpaCy on startup news
    For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use. - Source: dev.to / over 2 years ago
View more

Theano mentions (0)

We have not tracked any mentions of Theano yet. Tracking of Theano recommendations started around Mar 2021.

What are some alternatives?

When comparing Gensim and Theano, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

rasa NLU - A set of high level APIs for building your own language parser

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

FastText - Library for efficient text classification and representation learning

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

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