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A little about me

  • πŸ“• Co-author of Graph Data Modeling in Python.
  • πŸ“ˆ I'm currently working on a number of Machine Learning projects utilising Transformers for natural language text modelling of some of my organisation's key aims around protecting people online against bad actors and bad actor groups
  • πŸŽ“ I have a degree in applied business statistics and an MBA in Business & Accountancy (with modules in OR and Statistics). A fan of statistics, machine learning and anything that can be used to solve real world problems.
  • 🌱 I’m currently learning how to use Google Cloud Platform to its greatest potential, as well as pressing on with some Python package and class development, as well as Named Entity Recognition token classification and generative AI.
  • πŸ‘― I’m looking to collaborate on R or Python package development, as I have 8 active packages on CRAN and have two packages on PyPi. I would be happy to take you through the steps needed to get there.
  • Creator and author of several R packages namely OddsPlotty, ConfusionTableR, NHSDataDictionaRy, FeatureTerminatoR and MLDataR. I have collaborated on a couple more, namely NHSRdatasets and SangerTools. Authored the packages on PyPI Torchtilities (utilities for working with PyTorch) and I am working on a general sci-kit learn utilities package.
  • πŸ’» - specialised in R and Python for data science, machine learning and statistics. Object orientated knowledge in C# for Windows Forms design and databases. Former web developer in technologies HTML, Javascript, PHP and CSS (also know a little Node.JS, enough to be dangerous). I find learning new programming languages interesting, the same way polyglots do learning new spoken languages. ML and Deep Learning skillsets in Computer Vision Classification, Object Detection, Semantic Segmentation and OCR, supervised and unsupervised methods and natural language processing, currently working on pretraining and finetuning Transformer models.
  • πŸ“‘ - blogger and website owner of hutsons-hacks.
  • πŸ“§ how to reach me - @StatsGary - you can message me, follow me, or hit me up on my Twitter channel.

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Gary Hutson's Projects

tesseract icon tesseract

Tesseract Open Source OCR Engine (main repository)

text_analysis_r icon text_analysis_r

Repository with all the information and files needed for the Text Analysis in R workshop

textgan-pytorch icon textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

thinkbayes2 icon thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

tidycells icon tidycells

Automatic transformation of untidy spreadsheet-like data into tidy form

tqdm icon tqdm

A Fast, Extensible Progress Bar for Python and CLI

transformers-1 icon transformers-1

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-for-nlp-2nd-edition icon transformers-for-nlp-2nd-edition

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

treasure-of-transformers icon treasure-of-transformers

πŸ’ Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. πŸ›«β˜‘οΈ

ultralytics icon ultralytics

YOLOv8 πŸš€ in PyTorch > ONNX > CoreML > TFLite

urlexpander icon urlexpander

🌬️urlExpander is a Python package for expanding shortened links (urls).

vertex-ai-samples icon vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

visiontransformer icon visiontransformer

A complete easy to follow implementation of Google's Vision Transformer proposed in "AN IMAGE IS WORTH 16X16 WORDS". This pytorch implementation has comments for better understanding.

vizdoom icon vizdoom

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:

webinars icon webinars

Repository for the NHS-R Community Webinars

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