License_doc_similality1
detectes License name normalized like SPDX, by similarity classification (gensim)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nlp Journey | 1,563 | 5 months ago | 3 | April 29, 2020 | apache-2.0 | Python | ||||
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. | ||||||||||
| Text Cnn | 198 | 4 years ago | 14 | mit | Python | |||||
| 嵌入Word2vec词向量的CNN中文文本分类 | ||||||||||
| Wordembeddings Elmo Fasttext Word2vec | 129 | 6 years ago | Python | |||||||
| Using pre trained word embeddings (Fasttext, Word2Vec) | ||||||||||
| Doc2vec | 82 | 4 years ago | 6 | mit | Python | |||||
| :notebook: Long(er) text representation and classification using Doc2Vec embeddings | ||||||||||
| Attentionxml | 65 | 5 years ago | Python | |||||||
| Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification" | ||||||||||
| Nlp_workshop_odsc_europe20 | 36 | 4 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models. | ||||||||||
| 10_days_of_deep_learning | 26 | a year ago | Jupyter Notebook | |||||||
| 10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras | ||||||||||
| Ml Spam Sms Classification | 23 | 3 years ago | n,ull | Jupyter Notebook | ||||||
| Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification | ||||||||||
| Smpcup2017_palm | 7 | 6 years ago | 2 | Python | ||||||
| 2nd place for total score, 1st place for task2 | ||||||||||
| License_doc_similality1 | 6 | 3 years ago | 10 | other | HTML | |||||
| detectes License name normalized like SPDX, by similarity classification (gensim) | ||||||||||
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