chuony's Stars
Cartus/AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
billryan/resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
datawhalechina/learn-nlp-with-transformers
we want to create a repo to illustrate usage of transformers in chinese
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
changzhisun/entrel-joint-mrt
changzhisun/AntNRE
AntNLP Neural Relation Extraction
NKU-IIPLab/SMHSA
Source code of the paper "Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction, IJCAI 2020."
kdrivas/Graph-convolutional
weizhepei/CasRel
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
xiangrongzeng/copy_re
Release for acl18 paper "Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism"
onehaitao/Att-BLSTM-relation-extraction
Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
brightmart/text_classification
all kinds of text classification models and more with deep learning
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
icip-cas/InformationExtraction
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
jackfrued/Python-100-Days
Python - 100天从新手到大师
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)