nlp-recipes VS deepsegment

Compare nlp-recipes vs deepsegment and see what are their differences.

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nlp-recipes deepsegment
5 1
6,020 228
- -
0.0 0.7
over 1 year ago over 3 years ago
Python Python
MIT License GNU General Public License v3.0 only
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.

nlp-recipes

Posts with mentions or reviews of nlp-recipes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

deepsegment

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

What are some alternatives?

When comparing nlp-recipes and deepsegment you can also consider the following projects:

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

ttach - Image Test Time Augmentation with PyTorch!

OpenPrompt - An Open-Source Framework for Prompt-Learning.

punctuator2 - A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

vocal-remover - Vocal Remover using Deep Neural Networks

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

AutoDash - Want to type an Em Dash—now you can. Just type "--".

Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

ccg2lambda - Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

link-grammar - The CMU Link Grammar natural language parser

forte - Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/