Seq2Seq-PyTorch and seq2seq.pytorch
About Seq2Seq-PyTorch
MaximumEntropy/Seq2Seq-PyTorch
Sequence to Sequence Models with PyTorch
This project helps machine learning engineers and researchers build and experiment with sequence-to-sequence models for tasks like machine translation. It takes sequences of words or characters in one language as input and produces translated sequences in another. The implementations cover standard and attention-based models, providing a foundation for natural language processing applications.
About seq2seq.pytorch
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.
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