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Neural Adaptive Machine Translation that adapts to context and learns from corrections.
Attention-based NMT with Coverage, Context Gate, and Reconstruction
Code for "Context-Aware Recurrent Encoder for Neural Machine Translation" (TASLP 2017)
关于机器学习，深度学习，自然语言处理等各种算法的实现、示例，与博客文章配套，论文复现等
NMT for chinese-english using fairseq
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine T…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ChineseNMT: Translate English to Chinese with PyTorch Implementation of Transformer
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Relative Positional Encoding for Transformers with Linear Complexity
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.
Natural Language Processing Tutorial for Deep Learning Researchers
Awesome Neural Architecture Search Papers
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).