pytorch-seq2seq
seq2seq toolkit
A PyTorch-based framework for building and training sequence-to-sequence models
An open source framework for seq2seq models in PyTorch.
1k stars
60 watching
376 forks
Language: Python
last commit: about 2 years ago deeplearningpytorchseq2seq
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides tools and frameworks for training sequence-to-sequence models using PyTorch | 523 |
| An implementation of Sequence to Sequence models in PyTorch with various attention mechanisms and extensions for machine translation tasks. | 738 |
| A Python NLP library for training and running sequence-to-sequence models similar to the fast.ai library. | 283 |
| A PyTorch-based simulator for quantum machine learning | 45 |
| An attention-based sequence-to-sequence learning framework | 389 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| A comprehensive Python library for developing state-of-the-art sequence understanding models, providing pre-trained models and tools for natural language processing tasks. | 426 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| An open-source sequence-to-sequence framework for neural machine translation built on PyTorch. | 1,212 |
| Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
| A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 40 |
| A toolkit for building sequence classification models in Python | 691 |
| A toolkit for building and training semantic segmentation models using PyTorch. | 1,408 |
| A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |