text VS Words Counted

Compare text vs Words Counted and see what are their differences.

text

Models, data loaders and abstractions for language processing, powered by PyTorch (by pytorch)
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text Words Counted
2 -
3,443 159
0.4% -
7.1 0.0
5 days ago over 2 years ago
Python Ruby
BSD 3-clause "New" or "Revised" License MIT License
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.

text

Posts with mentions or reviews of text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-04.

Words Counted

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

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

What are some alternatives?

When comparing text and Words Counted you can also consider the following projects:

SFDX-Data-Move-Utility - SFDMU is a cutting-edge Salesforce data migration tool for seamless org population from other orgs or CSV files. It handles all CRUD operations on multiple related objects in one go.

Parslet - A small PEG based parser library. See the Hacking page in the Wiki as well.

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

pocketsphinx-ruby - Ruby speech recognition with Pocketsphinx

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

Awesome NLP with Ruby - Curated List: Practical Natural Language Processing done in Ruby

Chart2Text - Chart-to-Text: Generating Natural Language Explanations for Charts by Adapting the Transformer Model

Text - Collection of text algorithms. gem install text

sru - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Treat - Natural language processing framework for Ruby.

tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Treetop - A Ruby-based parsing DSL based on parsing expression grammars.