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A little about me

  • šŸ“• Co-author of Graph Data Modeling in Python.
  • šŸ“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
  • šŸŽ“ 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.
  • šŸŒ± Iā€™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.
  • šŸ‘Æ Iā€™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.
  • šŸ’» - 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.
  • šŸ“‘ - blogger and website owner of hutsons-hacks.
  • šŸ“§ 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

python-fire icon python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorchforaudio icon pytorchforaudio

Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.

qlora icon qlora

QLoRA: Efficient Finetuning of Quantized LLMs

r-ladies-ml-1 icon r-ladies-ml-1

:star: Files for my R-Ladies ML workshop - Supervised Learning 101 :star:

retnet icon retnet

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

retwis-py icon retwis-py

Simple twitter clone using Python Flask and Redis

rlang icon rlang

Demystifying quosures and all that stuff

rockthemes icon rockthemes

R colour palettes based on classic rock albums and some other ones

sampleproject icon sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

sangertools icon sangertools

Functions designed to streamline NHS/Healthcare Analyst's workflows

scikit-llm icon scikit-llm

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

selenium icon selenium

A python repository for Selenium scraping

serve icon serve

Serve, optimize and scale PyTorch models in production

setfit icon setfit

Efficient few-shot learning with Sentence Transformers

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

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