Keras Text To Image Alternatives
Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep Learning With Keras Notebooks | 1,868 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Jupyter notebooks for using & learning Keras | ||||||||||
| Nlp Journey | 1,563 | a year 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. | ||||||||||
| Repo 2017 | 1,146 | 3 years ago | 1 | Python | ||||||
| Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano | ||||||||||
| Deep_learning_nlp | 359 | 5 years ago | Jupyter Notebook | |||||||
| Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP | ||||||||||
| Always Learning | 341 | 4 years ago | ||||||||
| 404 Not Found的知识库：计算机理论基础、计算机技术基础、底层研究、安全技术、安全研究、人工智能、企业安全建设、安全发展、职业规划、综合素质、国内外优秀技术人 | ||||||||||
| Debug_seq2seq | 231 | 8 years ago | 20 | Python | ||||||
| [unmaintained] Make seq2seq for keras work | ||||||||||
| Repo 2016 | 105 | 6 years ago | Python | |||||||
| R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation | ||||||||||
| Cyber Matrix Ai | 53 | 7 years ago | Jupyter Notebook | |||||||
| Collection of cyber security and "AI" relevant topics | ||||||||||
| Textclassification | 52 | 6 years ago | 1 | Python | ||||||
| deep learning in text classification(keras) | ||||||||||
| Keras Text To Image | 50 | 7 years ago | 6 | mit | Python | |||||
| Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks | ||||||||||
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