Sagemaker_seq2seq_wordpronunciation
Sequence to Sequence modeling have seen great performance in building models where the input is a sequence of tokens (words for example) and output is also a sequence of tokens. The notebook provides an end-to-end training example of training the English word pronunciation model.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Token2index | 43 | 3 years ago | 3 | October 28, 2020 | gpl-3.0 | Python | ||||
| A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow. | ||||||||||
| Seq2seq Chatbot | 17 | 7 years ago | Python | |||||||
| TensorFlow Implementation of Twitter Chatbot | ||||||||||
| Neuralcodetranslator | 14 | 5 years ago | Python | |||||||
| Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations | ||||||||||
| Tweet_bot | 10 | 7 years ago | Python | |||||||
| A Twitter bot based on seq2seq model, trained on twitter chat log | ||||||||||
| Sagemaker_seq2seq_wordpronunciation | 7 | 6 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Sequence to Sequence modeling have seen great performance in building models where the input is a sequence of tokens (words for example) and output is also a sequence of tokens. The notebook provides an end-to-end training example of training the English word pronunciation model. | ||||||||||
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