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lundez

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MSc Computer Science @ LTH. A programmer that enjoys ML, NLP & Functional programming. Don't miss https://github.com/londogard/

Funding Links: https://github.com/sponsors/Lundez

GitHub Sponsors Profile

Hi,
I'm Hampus Londögård.
Interests
❤️ Natural Language Processing
❤️ JVM (Kotlin & Scala)
❤️ Functional Programming & Types
Working on

nlp. Building one of the, if not the, best NLP toolkits for the JVM. Includes State-of-the-Art embeddings, BM-25 and much more! Incredibly efficient to be able to even run on a Raspberry Pi.
text-gen. Building on old-school techniques combined with newer ones to provide a text generation to be run on the Raspberry Pi. Cheap, Effective yet Fun!
summarize. Building on TFIDF, Embeddings and some papers from 2016ish, providing great text summarizers (extractive) that are really fast and pretty slim (also runnable on Raspberry Pi!).
londogard. Our org in GitHub
https://blog.londogard.com - our blog with links to demos of most libraries!

Sponsorship will help me take time from my work to instead work on Open Source libraries, others and my own. Currently everything is done on free-time which makes it hard.

Featured Works

Lundez/JavaSymSpell

SymSpell v6.4ish ported to Java 8. Will be a module in my Master Thesis.

Language: Java - Stars: 24
londogard/text-gen-kt

Text Generation in Kotlin. Will include multiple pre-trained models & ability to train your own. Easy-to-use API as a goal too.

Language: Kotlin - Stars: 2
londogard/summarize-kt

Summarisation library. Easy-to-use API with ready models.

Language: Kotlin - Stars: 2
londogard/londogard-nlp-toolkit

Londogard Natural Language Processing Toolkit written in Kotlin

Language: Kotlin - Stars: 71