mylv1222 Goto Github PK

keras-bert-ner

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF/single-CRF model with BERTs (Google's Pretrained Language Model: supporting BERT/RoBERTa/ALBERT).

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。

keras_lstm_chinese_document_classification

使用 Keras 进行中文文本分类

kg-beijing

北京知识图谱学习小组

knowledge-graph-learning

A curated list of awesome knowledge graph tutorials, projects and communities.

knowledgegraphcourse

东南大学《知识图谱》研究生课程

larcenyjudgementdocument

盗窃罪裁判文书信息抽取

lark

LAnguage Representations Kit

latest-chinese-ner-model

使用tf实现最新的中文命名实体识别模型

latex_template

Here are some LaTeX templates for paper, CV, homework, presentation and report, etc.

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

lectures

Oxford Deep NLP 2017 course

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！🚀

leetcode_101

LeetCode 101：和你一起你轻松刷题（C++）

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

lexiconner

Lexicon-based Named Entity Recognition

lgn

A Lexicon-based Graph Neural Network for Chinese NER.

lihang-code

《统计学习方法》的代码实现

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.

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

machine-learning-yearning-cn

CHINESE TRANSLATION OF MACHINE LEARNING YEARNING BY ANDREW NG

machine_learing_study

marktex

convert markdown to latex code perfectly, support chinese

merge_label

Code for paper "Merge and Label: A Novel Neural Network Architecture for Nested NER", ACL 2019

mimo_cfe

Source code for the EMNLP 2019 paper "Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text" (给定科研文本如生物医药文献，联合抽取其中事实三元组、条件三元组，即对文献进行信息结构化)

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ml_dl_nlp

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"