Gensim VS TensorFlow

Gensim Reviews

TensorFlow Reviews

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

TensorFlow mentions (7)

• Creating Image Frames from Videos for Deep Learning Models

  Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 1 year ago

• Need help with a Tensorflow function

  So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago

• Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7

  Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago