Chinese version of GPT2 training code, using BERT tokenizer.

Unsupervised Question answering via Cloze Translation

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A Dataset for Multi-Turn Dialogue Reasoning

Library for conversion between Traditional and Simplified Chinese

The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.

区块链技术相关的论文、文档

Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Implementation of the paper Tree Transformer

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018

On the Variance of the Adaptive Learning Rate and Beyond

An Efficient Lexical Analyzer for Chinese

Deep Inside-Outside Recursive Autoencoder

RoBERTa中文预训练模型: RoBERTa for Chinese

Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

repo for interactive article

A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

🤗 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.

A collection of datasets that pair questions with SQL queries.

Neural Network for generating structured queries from natural language.

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross Domain Text-to-SQL Task

Author implementation of the paper "Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"

A comprehensive collection of recent papers on graph deep learning