Topics / #word2vec

Word2vec projects on GitHub

Word embeddings mapping words to vectors capturing meaning.

As of , the most-starred Word2vec projects on GitHub are TensorFlow-Examples (43.7K stars), Dive-into-DL-PyTorch (19.5K stars) and DeepLearning (17.8K stars). GitHub.Locker tracks 8 Word2vec repositories with 157K stars combined. The fastest-growing on October 16 was Dive-into-DL-PyTorch, with +5 stars in a day.

8Projects
157KStars in total
+7Stars in a day
Browse in the catalog →github.com/topics/word2vec ↗

Hot right now

Most stars gained in a day · Oct 16

+5

Dive-into-DL-PyTorch

ShusenTang/Dive-into-DL-PyTorch · ★ 19.5K

The Chinese book 'Dive into Deep Learning' with its MXNet code examples rewritten in PyTorch — a free, open-source deep-learning tutorial pairing runnable Jupyter notebooks with online docs.

+1

DeepLearning

Mikoto10032/DeepLearning · ★ 17.8K

A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

+1

Chinese-Word-Vectors

Embedding/Chinese-Word-Vectors · ★ 12.2K

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.

The all-time top

8 projects · by stars

  1. #1 · aymericdamien/TensorFlow-Examples

    TensorFlow-Examples

    A hands-on tutorial collection that teaches TensorFlow through runnable examples, from a hello world notebook up to deep neural networks and GANs.

    43.7K
  2. #2 · ShusenTang/Dive-into-DL-PyTorch

    Dive-into-DL-PyTorch

    The Chinese book 'Dive into Deep Learning' with its MXNet code examples rewritten in PyTorch — a free, open-source deep-learning tutorial pairing runnable Jupyter notebooks with online docs.

    19.5K
  3. #3 · Mikoto10032/DeepLearning

    DeepLearning

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

    17.8K
  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

    numpy-ml

    16.3Kddbourgin/numpy-ml · Python

    A collection of machine learning algorithms — Gaussian mixture models, HMMs, neural networks, tree ensembles, reinforcement learning agents and more — implemented from scratch in pure NumPy.

  3. 6

    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.

  4. 7

    nlp-tutorial

    14.9Kgraykode/nlp-tutorial · Jupyter Notebook

    A collection of short PyTorch implementations covering core NLP and deep learning models, from word embeddings to Transformers and BERT, meant as a study resource.

  5. 8

    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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