Stars
Automatically find issues in image datasets and practice data-centric computer vision.
The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.
Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)
[BlockSys 2022] Exploring deep learning techniques for Ethereum smart contract vulnerability detection.
Consolidated Ground Truth (CGT) for Weaknesses of Ethereum Smart Contracts
Natural Language Processing Tutorial for Deep Learning Researchers
Source code for the Neo4j Graph Data Science library of graph algorithms.
Temporal ensembling for semi-supervised learning
Π Model from “Temporal Ensembling for Semi-Supervised Learning” (ICLR 2017) with TensorFlow.
My blogs and code for machine learning. http://cnblogs.com/pinard
Text preprocessing, representation and visualization from zero to hero.
Learning Convolutional Neural Networks with Interactive Visualization.
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN,…
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
An Open-Source Package for Neural Relation Extraction (NRE)
Stanford Open Information Extraction made simple!
An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。