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Hi My name is Shamsuddeen Hassan Muhammad

I am a PhD student at the University of Porto and am generally interested in low-resource African NLP. My research topics include sentiment analysis, hate speech detection, transfer learning, and language modelling. I am also faculty member at Bayero University, Kano - Nigeria.

I am the founder of Arewa Data Science Academy, an initiative to train and mentor young data scientists in Northern Nigeria. I also co-founded HausaNLP, a community that promotes NLP for Hausa languages.

You can contact me at [email protected]. Visit my page here: https://shmuhammadd.github.io

Shamsudddeen Hassan Muhammad's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-fastai icon awesome-fastai

Curated lists of fastai resources: blog posts, twitter threads etc.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-r-learning-resources icon awesome-r-learning-resources

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

bigbookofphd icon bigbookofphd

Documentation of tool and resources I find useful during my PhD

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-live-book icon data-science-live-book

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

deeplearning-nlp-models icon deeplearning-nlp-models

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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