pytorch https://github.com/pytorch/translate
开源神经网络机器翻译框架OpenNMT的Python实现 https://github.com/sebastianGehrmann/diverse_ensembling
PyTorch实现的Transformer神经机器翻译 https://github.com/MultiPath/Squirrel
复制即翻译的外文辅助阅读翻译解决方案 https://github.com/elliottzheng/CopyTranslator/blob/master/README_zh.md
OpenNMT是个开源的神经网络机器翻译系统，用Torch实现。其设计目标是简单易用、易于扩展，同时保证效率和一流的翻译准确性。 https://github.com/OpenNMT/OpenNMT
面向教学目的的最小化神经网络机器翻译实现(PyTorch) https://github.com/joeynmt/joeynmt
Meta learning for Neural Machine Translation https://github.com/MultiPath/MetaNMT
BERT论文中文翻译 https://github.com/yuanxiaosc/BERT_Paper_Chinese_Translation
Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation" https://github.com/dojoteef/synst
Source code for the paper https://github.com/ictnlp/OR-NMT
Incorporating BERT into Neural Machine Translation https://github.com/bert-nmt/bert-nmt
'Bob：一款 Mac 端翻译软件，翻译方式支持划词翻译和截图翻译，翻译引擎支持有道翻译、百度翻译和谷歌翻译~' https://github.com/ripperhe/Bob
LaNMT: Latent-variable Non-autoregressive Neural Machine Translation with Deterministic Inference https://github.com/zomux/lanmt
Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019 https://github.com/pfnet-research/vat_nmt
机器翻译中的强化学习：优点、缺点以及不足 https://mp.weixin.qq.com/s/yILXP7EJFC_ST75mrhi8ng
The implementation of "Learning Deep Transformer Models for Machine Translation" https://github.com/wangqiangneu/dlcl
哈佛OpenNMT开源神经网络机器翻译 TensorFlow 2.0 实现版 https://github.com/OpenNMT/OpenNMT-tf
开源翻译平台 traduora，支持多人协作在线翻译，可导入导出 JSON、CSV、YAML 等多种文本格式。 https://github.com/traduora/traduora
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation https://github.com/jungokasai/deep-shallow
NiuTrans.NMT：基于Transformer的轻量快速神经网络机器翻译系统 https://github.com/NiuTrans/NiuTrans.NMT
极高质量的科普文章《Visualizing A Neural Machine Translation Model》，文章将算法原理用通俗的动画来演示，非常靠谱。是某目前为止看到对深度学习算法最好的梳理和解读 http://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
Argos Translate：Python写的基于OpenNMT的开源离线机器翻译App https://github.com/argosopentech/argos-translate
deep-translator：Python多语言机器翻译工具 https://github.com/nidhaloff/deep-translator
LibreTranslate：可完全本地化部署的开源机器翻译API服务，基于Argos Translate https://github.com/uav4geo/LibreTranslate
EasyNMT - 易于使用的最先进神经网络机器翻译，支持100+种语言 https://github.com/UKPLab/EasyNMT
The implementation of "Does Multi-Encoder Help? A Case Study on Context-AwareNeural Machine Translation" https://github.com/libeineu/Context-Aware
We release a dataset based on Wikipedia sentences and the corresponding translations in 6 different languages along with the scores (scale 1 to 100) generated though human evaluations that represent the quality of the translations.Paper Title Unsupervised Quality Estimation for Neural Machine Translation https://github.com/facebookresearch/mlqe
DL Translate：基于Huggingface transformers库和mBART-Large的深度学习机器翻译库 github.com/xhlulu/dl-translate
EasyNMT - 易于使用的最先进神经网络机器翻译，支持100+种语言 http://easynmt.net/demo/ https://github.com/UKPLab/EasyNMT
TensorFlow实例教程：基于注意力的神经机器翻译 https://www.tensorflow.org/text/tutorials/nmt_with_attention
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation github.com/MGheini/xattn-transfer-for-mt
LibreTranslate：可完全本地化部署的开源机器翻译API服务，基于Argos Translate github.com/LibreTranslate/LibreTranslate
MT Conferences & Journals：机器翻译相关会议/期刊列表 github.com/NiuTrans/MTVenues
LibreTranslate：可完全本地化部署的开源机器翻译API服务，基于Argos Translate github.com/LibreTranslate/LibreTranslate
ChineseNMT：基于transformer的英译中翻译模型 github.com/hemingkx/ChineseNMT
Building Machine Translation Systems for the Next Thousand Languages 为了能翻译一千多种语言——尤其是长尾语言——不用双语语料库，而是用单语源语言内容，来训练机器翻译引擎。 https://arxiv.org/abs/2205.03983
HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning 设计一个通用多通道Transformer，可以在文本、图像、视频、音频、时间序列、传感器、表格等模态之间进行通用化，同时改善性能和效率之间的权衡。 https://arxiv.org/abs/2203.01311