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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

ctgan icon ctgan

Conditional GAN for generating synthetic tabular data.

curated-transformers icon curated-transformers

:robot: A PyTorch library of curated Transformer models and their composable components

cyclegan-in-pytorch icon cyclegan-in-pytorch

Designed a CycleGAN model for image-to-image translation from unpaired training dataset using an unsupervised approach. The objective was to train generators that learn to transform an image from domain X into an image that looks like it came from domain Y (and vice versa).

data icon data

Samples of data used in tutorials

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

detoxify icon detoxify

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚑ Pytorch Lightning and πŸ€— Transformers. For access to our API, please email us at [email protected].

dolly icon dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

electra icon electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

enet icon enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

evidently icon evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

examples icon examples

A repository to host extended examples and tutorials

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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

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