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  • 👋 Hi, I’m @pengKiina working in Lapland as marketing expert and tour guide.
  • 👀 I’m interested in content marketing.
  • 🌱 I’m currently doing PhD at University of Eastern Finland.
  • 💞️ I’m looking to collaborate on content marketing, especially in tourism business.
  • 📫 How to reach me: [email protected]

pengkiina's Projects

binoculars icon binoculars

Binoculars: Zero-Shot Detection of LLM-Generated Text

click_that_hood icon click_that_hood

A game where users must identify a city's neighborhoods as fast as possible

clip icon clip

Contrastive Language-Image Pretraining

coreferee icon coreferee

Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages

easyocr icon easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

emoji icon emoji

emoji terminal output for Python

emot icon emot

Open source Emoticons and Emoji detection library: emot

etdataset icon etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

facelib icon facelib

Face Detection & Age Gender & Expression & Recognition

hypergraphx icon hypergraphx

HGX is a multi-purpose, open-source Python library for higher-order network analysis

hypernetx icon hypernetx

Python package for hypergraph analysis and visualization.

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

instalooter icon instalooter

Another API-less Instagram pictures and videos downloader.

leidenalg icon leidenalg

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

mmaction2 icon mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

mmf icon mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

multimodal-deep-learning-for-music-genre-classification icon multimodal-deep-learning-for-music-genre-classification

Using the Million Song Dataset, genre tags from Last.fm, and lyrics from Musixmatch, I constructed a multi-genre classifier that can effectively detect both single genres and fusion genres of tracks, using a dataset crafted from multiple modalities.

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