Beast code in Giters

pastray_lover's starred repositories

MarkTool

DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验、自动合并和手动调整，提高了标注结果的准确率。

Language:VueApache-2.058500

CampusShame

互联网仍有记忆！那些曾经在校招过程中毁过口头offer、意向书、三方的公司！纵然人微言轻，也想尽绵薄之力！

305500

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Language:PythonNOASSERTION1236600

OpenEA

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

Language:PythonGPL-3.051700

network-com

网络通信笔记

Language:Python2400

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Language:PythonMIT784800

UIE

Unified Structure Generation for Universal Information Extraction

Language:Python87300

netron

Visualizer for neural network, deep learning and machine learning models

Language:JavaScriptMIT2747900

CBAM.PyTorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

Language:Python132000

YEDDA

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

Language:PythonApache-2.0102300

chaizi

漢語拆字字典

NOASSERTION72400

multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

Language:PythonMIT41200

Chinese-Literature-NER-RE-Dataset

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

40500

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Language:PythonMIT259400

DDParser

百度开源的依存句法分析系统

Language:PythonApache-2.097300

kg-baseline-pytorch

2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

Language:Python31400

Chinese-Word-Vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

Language:PythonApache-2.01175200

PARL

A high-performance distributed training framework for Reinforcement Learning

Language:PythonApache-2.0324000

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

Language:PythonMIT191300

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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Brat-Chinese-Translation

brat 文本标注系统的官方文档中文翻译

GPL-3.01400

Huggingface_Toturials

bert-base-chinese example

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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Language:PythonApache-2.01897900

DomainWordsDict

DomainWordsDict, Chinese words dict that contains more than 68 domains, which can be used as text classification、knowledge enhance task。涵盖68个领域、共计916万词的专业词典知识库，可用于文本分类、知识增强、领域词汇库扩充等自然语言处理应用。

64400

CasRel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Language:PythonMIT75800

RIFRE

Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction

Language:Python6100

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

MIT306700

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.013176800

brat

brat rapid annotation tool (brat) - for all your textual annotation needs

Language:PythonNOASSERTION181200

GNNs-for-NLP

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

Language:Python78300