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ace2005parser

ACE2005事件抽取数据预处理

argocd-lab

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

bert

TensorFlow code and pre-trained models for BERT

bigru-crf-with-attention-for-ner

Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF

bip

blog_demos

CSDN博客专家程序员欣宸的github，这里有六百多篇原创文章的详细分类和汇总，以及对应的源码，内容涉及Java、Docker、Kubernetes、DevOPS等方面

casee

Source code for ACL 2021 finding paper: CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction

casrel

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

ce2ere

Constrained learning using boxes for event-event relation extraction

cec-corpus

:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室

chatgpt_for_ie

Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

clash-dashboard

web port of clash

cnn-bigru-attention

CNN-BiGRU-Attention模型

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

coding-interview-university

A complete computer science study plan to become a software engineer.

cronjob-operator

CronJob Operator (without webhooks) example from book.kubebuilder.io

cs-base

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

customscheduler

基于prometheus的自定义调度器

deep_learning_quick_reference

deeplearning_lhy21_notes

深度学习 李宏毅 2021 学习笔记

deeprl_network

multi-agent deep reinforcement learning for networked system control.

degree

Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

doc_event_role

dong4325.github.io

我的hexo博客

draketyporatheme

多种风格 Drake Light Dark Vue Ayu Material Black Purple Juejin Google style for typora-theme

ecimp

eeqa

Event Extraction by Answering (Almost) Natural Questions