Authorless Tms
Repository for code and metadata to support work described in "Authorless Topic Models: Biasing Models Away from Known Structure"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Wiki2vec | 587 | 6 years ago | 21 | Java | ||||||
| Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps. Questions? https://gitter.im/idio-opensource/Lobby | ||||||||||
| Gensim Data | 492 | 6 years ago | 14 | lgpl-2.1 | Python | |||||
| Data repository for pretrained NLP models and NLP corpora. | ||||||||||
| Germanwordembeddings | 224 | 10 months ago | 1 | mit | Jupyter Notebook | |||||
| Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets | ||||||||||
| Sentencerepresentation | 112 | 7 years ago | 8 | Python | ||||||
| Chive | 105 | 2 years ago | apache-2.0 | |||||||
| Japanese word embedding with Sudachi and NWJC 🌿 | ||||||||||
| Wiki Word2vec | 66 | 6 years ago | 1 | mit | Python | |||||
| Train a gensim word2vec model on Wikipedia. | ||||||||||
| Japanese Words To Vectors | 57 | 4 years ago | Python | |||||||
| Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab. | ||||||||||
| Word2vec | 38 | 5 years ago | Jupyter Notebook | |||||||
| 訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google. | ||||||||||
| Gensim_notebook | 38 | 9 years ago | mit | Python | ||||||
| explain how to develop the topic model and how to evaluate it. | ||||||||||
| Authorless Tms | 22 | 4 years ago | apache-2.0 | Python | ||||||
| Repository for code and metadata to support work described in "Authorless Topic Models: Biasing Models Away from Known Structure" | ||||||||||
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