Seq2Seq-PyTorch and seq2seq.pytorch

Seq2Seq-PyTorch
51
Established
seq2seq.pytorch
47
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 742
Forks: 161
Downloads:
Commits (30d): 0
Language: Python
License: WTFPL
Stars: 518
Forks: 79
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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.

Machine Translation Natural Language Processing Deep Learning Research AI Model Development

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.

Neural Machine Translation Image Captioning Language Modeling Natural Language Processing Deep Learning Research

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