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๐ญโ๐ ๏ธ Currently working on ...
- entity resolved knowledge graphs
- natural language + entity resolution + graph technologies + machine learning, see https://huggingface.co/pacoid
- devrel @ senzing.com
- managing partner @ derwen.ai
- advisor + board member @ argilla.io; advisor @ kungfu.ai; advisor @ dataspartan ; advisor @ kurve.ai
- graph data science in general -- see: https://www.linkedin.com/groups/6725785/
- enhancements and integrations for
pytextrank
,kglab
,mkrefs
,disparity_filter
- API development with
fastapi
,pydantic
,pydantic-aioredis
- "Thinking Sparse and Dense" about how hardware evolution drives AI
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๐ฌ
- fluently: EN, Py, C++, JavaScript, Bash, LPG, RDF/OWL/SKOS/SHACL, NLP, ML, Neural Networks, Distrib Systems, Optimization
- conversationally: FR, ES
- attempted: FA, CY, JA, AR, RU, Abstract Algebra, Topology
- etc: Scala, Clojure, R, Java, C, FORTRAN, LISP, Pascal, JCL, Spice, Verilog, various assembly
- pronouns: he/him
- ๐ซ reach me: https://derwen.ai/paco, @[email protected], Signal
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๐ collaborates on: integrating Python libraries that provide different kinds of language or graph capabilities
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๐ animist, bioregionalist, /|\
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๐ณ fun fact: lives on an apple orchard in the Redwoods near the coast, making gelato, sorbet, granita, cider, mead, limoncello, and so on
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๐ฌ favorite animation series: Llamas with Hats
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๐ด activities: cycling, kayaking, hiking
ceteri / exelixi Goto Github PK
View Code? Open in Web Editor NEWExelixi is a distributed framework based on Apache Mesos, mostly implemented in Python using gevent for high-performance concurrency. It is intended to run cluster computing jobs (partitioned batch jobs, which include some messaging) in pure Python. By default, it runs genetic algorithms at scale.
License: Apache License 2.0