eladhoffer/seq2seq.pytorch
Sequence-to-Sequence learning using PyTorch
This project helps machine learning engineers and researchers build advanced language and image processing systems. It allows you to train models for tasks like translating text between languages, generating descriptions for images, or creating numerical representations of sentences. You provide text or image datasets, and the system produces trained models capable of these sequence-to-sequence transformations.
518 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher needing to develop custom neural machine translation, image captioning, or language modeling solutions using PyTorch.
Not ideal if you are looking for a plug-and-play application for immediate use, as this requires technical expertise in machine learning and deep learning frameworks.
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518
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79
Language
Python
License
MIT
Category
Last pushed
Nov 12, 2019
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