mylv1222's repositories
2020_algorithm_intern_information
2020年的算法实习岗位/校招公司信息表，和常见深度学习基础知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。
awesome-resume
程序员简历例句，程序员简历范例，Java简历模版，Python简历模版，C++简历模版
BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
bert4keras4nlp
基于bert4keras进行nlp工作，暂时包含文本分类，实体识别，实体关系抽取
CPlusPlusThings
C++那些事
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Deep-Learning-With-Python
《Python深度学习》书籍代码
DeepNER
天池中药说明书实体识别挑战冠军方案；中文命名实体识别；NER; BERT-CRF & BERT-SPAN & BERT-MRC；Pytorch
demo-html-css
超好看的前端模板(学习用)
DSDocRE
Source code for EMNLP 2020 paper "Denoising Relation Extraction from Document-level Distant Supervision"
edge-oriented-graph
Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"
GAIN
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
GCGCN
code of GCGCN(Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction)
GIT
Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
HyperGAT
Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
keras_bert_multi_label_cls
本项目采用Keras和Keras-bert实现文本多标签分类任务，对BERT进行微调。
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
Long-texts-Sentiment-Analysis-RoBERTa
PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.
NLP-Interview-Notes-1
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。
nocode
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.