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Yuning Jiang's Projects

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

burt icon burt

BURT: A task-oriented dialogue system for bug reporting

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

h4cker icon h4cker

This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.

infograph icon infograph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

information-extraction-chinese icon information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

nvdfeatureanalysis icon nvdfeatureanalysis

Correlate NVD datasets wIth CWE/CAPEC/CVSS labels for customised usage. Plus static analysis and data visualisation.

opennre icon opennre

An Open-Source Package for Neural Relation Extraction (NRE)

prompt-based-learning icon prompt-based-learning

This is a simple implementation of how to leverage a Language Model for a prompt-based learning model

qasystemonfinancialkg icon qasystemonfinancialkg

A tutorial and implement of Financial knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以A股为中心的一定规模金融领域知识图谱,并以该知识图谱完成自动问答与分析服务。

vulnerabilityclassifier icon vulnerabilityclassifier

Severity scoring and exploit categorisation for vulnerability reports using machine-learning tools.

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