LLMs meet Knowledge Graphs, graph AI, GNNs, applied research, entrepreneur, CTO.
QA -> full_stack -> viz_eng -> data scientist & engineer -> graph ML engineer
-
Graphlet AI
- San Francisco, CA
-
21:16
(UTC -08:00) - https://graphlet.ai
- @rjurney
- https://www.oreilly.com/pub/au/5236
- https://www.oreilly.com/people/russell-jurney/
- https://blog.datasyndrome.com
Highlights
- Pro
Popular repositories Loading
-
Agile_Data_Code_2
Agile_Data_Code_2 PublicCode for Agile Data Science 2.0, O'Reilly 2017, Second Edition
-
Agile_Data_Code
Agile_Data_Code PublicChapter-wise code for Agile Data the O'Reilly book
-
weakly_supervised_learning_code
weakly_supervised_learning_code PublicThe source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
-
Collecting-Data
Collecting-Data PublicThis is a HOWTO for collecting data in Ruby and Python applications and sending it to S3 via Kafka.
-
enron-avro
enron-avro PublicCode for creating and querying an Avro encoded repository of the UC Berkeley Enron email archive
-
enron-python-flask-cassandra-pig
enron-python-flask-cassandra-pig PublicHortonworks demo of Enron emails with Pig, Cassandra, Python and Flask
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.