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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

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

featureterminator icon featureterminator

A package to perform feature removal for statistical and machine learning models

flatten_the_curve icon flatten_the_curve

Make the chart in Michael HΓΆhle's blog post "Flatten the COVID-19 curve" interactive

funnelplotr icon funnelplotr

Funnel plots for comparing institutional performance, with overdispersion adjustment

generative-ai icon generative-ai

Sample code and notebooks for Generative AI on Google Cloud

gganimate icon gganimate

A couple of animation tasks I have been looking into

giffusion icon giffusion

Create GIFs and Videos using Stable Diffusion

gnn icon gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

google-advanced-data-analytics-professional-certificate icon google-advanced-data-analytics-professional-certificate

The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

haystack icon haystack

:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, Falcon and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

houses-dataset icon houses-dataset

This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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