Nlp Text Classifier
NLP for classifying text. Using word Word2Vec word embedding and a neural net with bidirectional LSTM to categorize sentences provided by the user.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gensim | 15,180 |  | 2,371 | 766 | 12 days ago | 93 | August 24, 2023 | 405 | lgpl-2.1 | Python |
| Topic Modelling for Humans | ||||||||||
| Numpy Ml | 14,162 | 6 months ago | 3 | June 20, 2020 | 35 | gpl-3.0 | Python | |||
| Machine learning, in numpy | ||||||||||
| Tensorflow Tutorials | 2,123 | a year ago | 23 | Python | ||||||
| 텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다 | ||||||||||
| Magpie | 574 | 4 years ago | 47 | mit | Python | |||||
| Deep neural network framework for multi-label text classification | ||||||||||
| Vectorhub | 543 |  | 1 | a year ago | 45 | September 28, 2021 | 8 | apache-2.0 | Python | |
| Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc) | ||||||||||
| Pycadl | 355 | 1 | 4 years ago | 11 | March 06, 2018 | 4 | other | Python | ||
| Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow" | ||||||||||
| Natural Language Processing | 336 | 6 years ago | Python | |||||||
| Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning | ||||||||||
| Abcnn | 252 | 5 years ago | 4 | Python | ||||||
| Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow | ||||||||||
| Gemsec | 234 | a year ago | gpl-3.0 | Python | ||||||
| The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019). | ||||||||||
| Germanwordembeddings | 224 | 9 months ago | 1 | mit | Jupyter Notebook | |||||
| Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets | ||||||||||
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Jupyter Notebook
Natural Language Processing
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Matplotlib
Word2vec
Spacy
Nltk