lemmatization-lists VS Awesome-pytorch-list

Compare lemmatization-lists vs Awesome-pytorch-list and see what are their differences.

lemmatization-lists

Machine-readable lists of lemma-token pairs in 23 languages. (by michmech)
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lemmatization-lists Awesome-pytorch-list
3 2
303 14,985
- -
0.0 0.0
over 2 years ago 4 months ago
ODC Open Database License v1.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

lemmatization-lists

Posts with mentions or reviews of lemmatization-lists. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-07.
  • Ambiguous spellings
    2 projects | /r/Redactle | 7 Feb 2023
    It's a bit of a massive undertaking maintaining such a data set so it's mostly taken from https://github.com/michmech/lemmatization-lists At the top of the file you'll see some additional I've added to deal with personal pronouns and numbers.
  • Is there a text list of words and their variations?
    1 project | /r/LanguageTechnology | 8 Jun 2021
    Another one to add to your list: https://github.com/michmech/lemmatization-lists
  • Trying to build a lemmatizer from scratch
    1 project | /r/LanguageTechnology | 23 Dec 2020
    One approach might be to take a lemmatization list, like the lemma-token lists at https://github.com/michmech/lemmatization-lists/, and compile it into a Finite State Transducer. The Helsinki FST package, for instance, has an hfst-strings2fst command to compile pairs of strings into a transducer. You might need to do some reformatting of the input first.

Awesome-pytorch-list

Posts with mentions or reviews of Awesome-pytorch-list. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-19.

What are some alternatives?

When comparing lemmatization-lists and Awesome-pytorch-list you can also consider the following projects:

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

awesome-asyncio - A curated list of awesome Python asyncio frameworks, libraries, software and resources

tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).

awesome-codex - A list dedicated to products, demos and articles related to 🤖 OpenAI's Codex.

awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

thesaurus - Offline database of synonyms/thesaurus

awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic

3D-Machine-Learning - A resource repository for 3D machine learning

awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.

build-your-own-x - Master programming by recreating your favorite technologies from scratch.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.