Automated Data Science Meta-harness

Application for managing the structure, properties, data, experiments and build of data science projects.

Repository of code examples for the book "Data Science First: Using Language Models in AI-Enabled Applications" -- Broken down into case studies using data from media, education, telecommunications…

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ML Meta-Model Experiment

This is a tool that will allow you to estimate the minimum required performance characteristics of an ML model for a business problem

A library and command line application for adding different kinds of features derived from columns of raw text.

Text based Puzzle Generators for AI Research

An experimental variation of the GBM algorithm

Data preparation tool for preparing machine learning datasets to build academic literature filtering tools

Exploratoration and Experiments on designing custom Workbenches in AWS Sagemaker

Demonstrating how to run a multi-target model factory and automatically create a containerised dashboard

A library and command line application to generate a table of summary stats on a columnar dataset. Produces results as either markdown or latex

Simple scripts for generating synthetic data

SImple Notebooks Experimenting with Hugging Face for text processing projects

Example notebook using Sagemaker with Comprehend Medical on synthetic clinical handover data.

Examples of Approaches to Using Sagemaker on 12 Lead ECG Data

Machine Learning Explainability Tools for Text Data

An experiment to build and populate a Feature Store Group using a Sagemaker Pipeline

A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs