yucoian's repositories
awesome-neural-models-for-semantic-match
A curated list of papers dedicated to neural text (semantic) matching.
AzureML-BERT
End-to-end recipes for pre-training and fine-tuning BERT using Azure Machine Learning service
conceptnet5
Code for building ConceptNet from raw data.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ERNIE
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
GNNPapers
Must-read papers on graph neural networks (GNN)
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
jsalt-2019-mt-tutorial
MT Tutorial for the JSALT 2019 Summer School
LASER
Language-Agnostic SEntence Representations
naacl_transfer_learning_tutorial
Repository of code for the NAACL tutorial on Transfer Learning in NLP
piqa
Phrase-Indexed Question Answering (PIQA)
Python-100-Days
Python - 100天从新手到大师
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-lightning
Rapid research framework for PyTorch. The researcher's version of Keras
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
rankqa
This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.
Simple-QA-EMNLP-2018
Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"
StackingBERT
Source code for "Efficient Training of BERT by Progressively Stacking"
texar-pytorch
Toolkit for Machine Learning and Text Generation, in PyTorch
torchtest
Unit Testing for pytorch, based on mltest
UnsupervisedQA
Unsupervised Question answering via Cloze Translation
XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding