statsgary Goto Github PK

followers: 121.0 following: 115.0 repos: 268.0 gists: 148.0

Name: Gary Hutson

Type: User

Company: Crisp Thinking / Google Certified Tensorflow Developer / NHS-R Community Senior Fellow / Kaggler

Bio: Head of Machine Learning | Former Head of Data Science / Senior DS. Loves: Python, R, ML/DL, modelling , Stats, Kaggle, anything data and my little dude.

Location: Watnall, Nottinghamshire

Blog: http://hutsons-hacks.info/

A little about me

📕 Co-author of Graph Data Modeling in Python.
📈 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
🎓 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.
👯 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.
💻 - 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.
📑 - blogger and website owner of hutsons-hacks.
📧 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

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

knitr

A general-purpose tool for dynamic report generation in R

kubeflow-pipelines

This repository contains the code for the example Kubeflow Pipeline from https://towardsdatascience.com/machine-learning-pipelines-with-kubeflow-4c59ad05522

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

langchain-tutorials

Overview and tutorial of the LangChain Library

large_language_model_training_playbook

An open collection of implementation tips, tricks and ressources for training large language models

level-up-advanced-sql-4311094

This repo is for the Linkedin Learning course: Level Up: Advanced SQL

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers