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causalityeventextraction icon causalityeventextraction

Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目,本项目罗列了因果显式表达的几种模式,基于这种模式和大规模语料,再经过融合等操作,可形成因果事件图谱。

chainknowledgegraph icon chainknowledgegraph

ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体,包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家,行业511个,产品95,559条、上游材料56,824条,上级行业480条,下游产品390条,产品小类52,937条,所属行业3,946条。

cuda-wrapper icon cuda-wrapper

Fake CUDA API by dynamic library wrapping to provide GPU memory sharing among processes.

eventkgnell icon eventkgnell

EventKGNELL, event knowlege graph never end learning system, a event-centric knowledge base search system,实时事理逻辑知识库终身学习系统项目和事件为核心的知识库搜索系统。包括事件概念抽取、事件因果逻辑抽取、事件数据关联推荐与推理。

fractional-gpus icon fractional-gpus

Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions

glances icon glances

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.

hellogithub icon hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

kity icon kity

Kity Web Vector Graphic Libary

krew icon krew

📦 Find and install kubectl plugins

kubeedge icon kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

learn_backtrader icon learn_backtrader

BackTrader中文教程笔记(by:量化投资与机器学习),系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等,彻底掌握量化神器的使用方法。章节:介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……(持续更新中)

linux-archive icon linux-archive

Linux archive for studying the process scheduler. 调度系统设计精要 http://draveness.me/system-design-scheduler

lite.ai.toolkit icon lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

ncov icon ncov

Nextstrain build for novel coronavirus SARS-CoV-2

newspaper icon newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

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