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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

article_summarizer

An experimental approach to article summarization that pairs Knowledge Graphs & Pre-Trained Text Transformers.

bayesian_statistics

tinkering with bayesian statistics via will kurt text

bcf-xml

XML specification for BIM Collaboration Format

causal-inference-1

Causal Inference 1 Mixtape Session taught by Scott Cunningham

causal-inference-2

Causal Inference II Mixtape Session taught by Scott Cunningham

cifar-multiheaducc

Wekaly supervised multiheaded classifer using UCC (unique class counts) and Encoder-Decoder architecture. Implemented using Kernal Density Estimates.

course22

The fast.ai course notebooks

duke-flask-kubernetes

A simple Flask app that returns correct change as the base project and converts it to Kubernetes.

duke-flaskviabeanstalk

Runthrough of continuous delivery via AWS beanstalk & Flask

duke-hugoviaaws

CD pipeline using Hugo and AWSS3

duke-multiclouddemo

This is a repo for building out a multi-cloud deployment with Github Actions as CI

duke-scaffold

repo for duke cloud computing course

epijudge

EPI Judge - Preview Release

fastai-projects

Projects made during fastai course

hey_coach

Matchmaker and support functions (e.g scheduling, payments, reminders) for Coaching Services. MERN stack

hmm-python-meetup

Demo of Python Library HMMLearn for Python Ireland Meetup March 2017

issue-tracker

Arup Issue Tracker official repository

it5005-ai_ag3

machine-learning

Machine Learning and Causal Inference taught by Brigham Frandsen

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae-vitclassifier

Masked-Autoencoder Vision Transformer, fine tuned for classification of white blood cells.

nus-oracleaapl_hackathon

ML files for hackathon

odin-foundation-recipes

Battle-tested recipies for dads on the front line

odin-foundations-cssexercises

odin-foundations-landingpage

landing page mockup

pandas-workshop

An introductory workshop on pandas with notebooks and exercises for following along.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch