attn2d
NMT library
A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
502 stars
15 watching
73 forks
Language: Python
last commit: over 4 years ago fairseqneural-machine-translationnlpnmtpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Provides tools and frameworks for training sequence-to-sequence models using PyTorch | 523 |
| | A PyTorch implementation of various deep convolutional networks for efficient training and evaluation on diverse datasets. | 347 |
| | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
| | An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 |
| | This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks. | 19 |
| | A comprehensive catalog of various neural machine translation implementations using different deep learning frameworks. | 359 |
| | An implementation of Sequence to Sequence models in PyTorch with various attention mechanisms and extensions for machine translation tasks. | 738 |
| | A Pytorch implementation of a neural network model for machine translation | 47 |
| | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| | An implementation of MobileNetV2 in PyTorch for image classification tasks. | 271 |
| | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
| | An implementation of Neural Turing Machines in PyTorch | 592 |
| | An implementation of text-to-speech synthesis using convolutional neural networks in PyTorch | 1,970 |
| | A PyTorch implementation of Neural Module Networks for Visual Question Answering | 108 |
| | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |