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cdl2024_masterclass
PublicConnected Data London 2024, ERKG masterclasskglab
PublicGraph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.kuzu-rdflib
Publicsz-starter
Publicbwyd
Publicstrwythura
PublicHow to construct knowledge graphs from unstructured data sourcesERKG
PublicDemonstrate integration of Senzing and Neo4j to construct an Entity Resolved Knowledge Graphpytextrank
PublicPython implementation of TextRank algorithms ("textgraphs") for phrase extractionmkrefs
PublicMkDocs plugin to generate semantic reference Markdown pages from a knowledge graphtextgraphs
PublicTextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graphray_tutorial
Public archiveAn introductory tutorial about leveraging Ray core features for distributed patterns.flask_example
Publicarxiv-trends
PublicAnalyze trends in articles published on arXivspaCy
Publicdisparity_filter
PublicImplements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)pynock
PublicA proposed standard `NOCK` for a Parquet format that supports efficient distributed serialization of multiple kinds of graph technologiesray_base
Public archiveibm_dsc_articles
Publicsemantic-python-overview
Publicrllib_tutorials
Public archiveRLlib tutorialsgym_example
Public archiveAn example implementation of an OpenAI Gym environment used for a Ray RLlib tutorialgoedwig
Public archiveA generic query engine for graph data, based on abstract syntax trees as input.rayCy_example
Publicibm_dsc_automl
Publicexsto
Publiccsvwlib
Publicibm_dsc_geo
Publicgym_projectile
Public archivegym_trivial
Public archivespaCy_tuTorial
Public