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β˜• I'm Thilina and I turn coffee into code β˜•

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  • πŸ€– Obsessed with everything tech
  • πŸ’‘ Creator of the Simple Transformers library
  • πŸ”Ž Learning and doing research in Natural Language Processing
  • πŸ“ Writing about NLP and Simple Transformers on Medium
  • πŸ’Ό Consulting and Freelancing
  • πŸ’― Iron Man is the best Avenger

Interests-Obsessions-Goals-Dreams-Stuff

  • πŸ›‘οΈ Fighting pseudoscience and misinformation.
  • πŸ”¬ Better education for everyone. Not everyone learns the same way.
  • πŸ’š Mental health awareness. I am ADHD.
  • πŸ‰ Reading fantasy. Watching Science-Fiction.
  • ⚽ Liverpool FC. You'll never walk alone.

Connect:

ThilinaRajapakse | Twitter ThilinaRajapakse | LinkedIn


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πŸ“• Latest Medium Posts


Thilina's github stats


"We have to go from what is essentially an industrial model of education, a manufacturing model, which is based on linearity and conformity and batching people. We have to move to a model that is based more on principles of agriculture. We have to recognize that human flourishing is not a mechanical process; it’s an organic process. And you cannot predict the outcome of human development. All you can do, like a farmer, is create the conditions under which they will begin to flourish."

- Sir Ken Robinson -

Thilina Rajapakse's Projects

all-contributors icon all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

cs105_solutions icon cs105_solutions

Solutions to the Labsheets given in CS105 course at University of Peradeniya, Faculty of Science, in 2018.

gitignore icon gitignore

A collection of useful .gitignore templates

it87 icon it87

Created from my local clone of the out-of-tree it87 driver

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

mvc icon mvc

MVC learning from MVA

natural-questions icon natural-questions

Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question answering systems.

negative-sampling-repro icon negative-sampling-repro

Code for the paper "Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting"

pytorch-pretrained-bert icon pytorch-pretrained-bert

πŸ“–The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-transformers-classification icon pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

simpletransformers icon simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

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