Topics / #word-embeddings

Word-embeddings projects on GitHub

Models and libraries that represent words as numeric vectors.

As of , the most-starred Word-embeddings projects on GitHub are funNLP (83K stars), Resume-Matcher (28.7K stars) and fastText (26.5K stars). GitHub.Locker tracks 7 Word-embeddings repositories with 197.2K stars combined. The fastest-growing on October 16 was funNLP, with +34 stars in a day.

7Projects
197.2KStars in total
+54Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

7 projects · by stars

  1. #1 · fighting41love/funNLP

    funNLP

    A huge curated collection of Chinese NLP resources: corpora, lexicons, tools, datasets and courses. The README calls it 'The Most Powerful NLP-Weapon Arsenal' — nearly the most complete Chinese NLP resource library.

    83K
  2. #2 · srbhr/Resume-Matcher

    Resume-Matcher

    Resume Matcher is a free, open-source AI harness for tailoring your resume to each job application, working with Claude, ChatGPT, DeepSeek, Kimi, GLM, Gemma and other LLMs, both local and remote.

    28.7K
  3. #3 · facebookresearch/fastText

    fastText

    fastText is a library from Facebook Research for efficiently learning word vector representations and training text classifiers, such as for sentiment analysis.

    26.5K
  1. 4

    gensim

    16.5Kpiskvorky/gensim · Python

    Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora, aimed at the natural language processing (NLP) and information retrieval (IR) community.

  2. 5

    lectures

    15.9Koxford-cs-deepnlp-2017/lectures

    The lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford: an advanced, applied NLP course organised by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.

  3. 6

    flair

    14.4KflairNLP/flair · Python

    Flair is a very simple framework for state-of-the-art natural language processing: a Python library for applying pre-trained NLP models to your text, developed by Humboldt University of Berlin and friends. The current release is version 0.15.1.

  4. 7

    Chinese-Word-Vectors

    12.2KEmbedding/Chinese-Word-Vectors · Python

    A collection of 100+ pre-trained Chinese word vectors (embeddings) trained with different representations, context features and corpora, plus the CA8 analogy dataset and an evaluation toolkit.

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