Peter Butterfill

Create delightful python projects using Jupyter Notebooks

Core functionality of fastai

The monolithic backend for the Photosphere application.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Demo the python SMART on FHIR client

Make realistic spelling mistakes (i.e. data augmentation for NLP)

Implement a neural net in JavaScript that is as easy to understand as possible.

My notebooks related to https://github.com/karpathy/nn-zero-to-hero

Convert eligibility criteria into analysis friendly formats

Adventures in data science, machine learning etc

Retreiver implementation of the RWD IG http://build.fhir.org/ig/HL7/vulcan-rwd/

Editable tables with HTML, CSS and JavaScript

Open source documentation of Microsoft Azure

No description provided.

An nbdev test project and decision tree ensemble implementation (see: http://course18.fast.ai)

Project to demo nbdev features and ideas for new features

Created by following "nbdev in colab tutorial"

Tools and tutorials to help working with nbdev in google colab

Make it easy to work with local or cloud storage as part of a data science workflow

Public repo for DeepLearning.AI MLEP Specialization

Study notes: Deep Learning with Python, Second Edition François Chollet

Provide a web API to get single patient medication bundles

An empty nbdev starter project for when nbdev_new won't work

Pointer control using (mostly) facial expressions

Provides an easy way to run SQL from Java

A web app to plan and journal

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Temporary home for fastai v2 while it's being developed

Template for nbdev projects

The fastai deep learning library, plus lessons and tutorials