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2015

Public material for CS109

2015lab1

all_prox_openml

This page is dedicated for the Proximity Mining for Holistic Schema Matching Recommendation in Data Lakes project by the DTIM research group of the ESSI department, UPC. We provide here the main datasets and sources for experimental evaluation of our techniques on OpenML data.

arom

Refactoring and fully merging multiple ontologies using pairwise alignments

arxiv_auto_crawler

auto scrawl for arrive data

aurum-datadiscovery

automatic_prompt_engineer

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-nifi

A list of useful Apache NiFi resources, processor bundles and tools

bert-whitening

简单的向量白化改善句向量质量

brick

Uniform metadata schema for buildings

brick-data-retrieval-demo

brick-example-server

cayley

An open-source graph database

corpus

自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。

cs229-machine-learning-stanford

CS229 Machine Learning Stanford Problem Set Solved

data-matching-software

A list of free data matching and record linkage software.

datahub

The Metadata Platform for the Modern Data Stack

db2triples

Antidot implementations of R2RML and Direct Mapping specifications

dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

deep_lerning

deepdive-tutorial

deepmatcher

Python package for performing Entity and Text Matching using Deep Learning.

douban-kgqa

豆瓣书籍,电影类别的知识图谱问答系统

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dsma

examples

Examples from knowledge graphs tutorial paper

falcon-ao

fox.jason.passthrough.swagger

Generate DITA-based REST API documentation from a Swagger file added directly to a ditamap

genn

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.