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Tsinghua University
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This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity id…
TensorFlow code and pre-trained models for BERT
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Open-Source Neural Machine Translation in Tensorflow
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Next Generation of ShadowsocksX
A parser for Google Scholar, written in Python
使用Ansible脚本安装K8S集群,介绍组件交互原理,方便直接,不受国内网络环境影响
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Improving the Transformer translation model with document-level context
Glaceon31 / PR4NMT
Forked from THUNLP-MT/THUMTan open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
An open-source classical Chinese information processing toolkit developed by Tsinghua Natural Language Processing Group
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
Open Source Neural Machine Translation in Torch (deprecated)
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Facebook AI Research Sequence-to-Sequence Toolkit
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…