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2015lab8

AWS, Vagrant, and Spark

2019-web

Repository for PyCon Canada 2019 website

abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

book_goodfellow

Notebooks related to the Deep Learning book by Ian Goodfellow

chatbot_experiments

crimemap

A small project that tracks crime in a city

deeplearning_clinicalnotes

Application of deep learning for natural language processing of clinical notes

demo_app

Ruby on rails tutorial demo application

demo_app2

digitsclassification

kNN classification of hand-written digits (R)

docker-compose-example

docker-compose example

events_app

financialreportanalysis2

Topic Modeling applied to US Financial Institutions (Python)

headlines

playing around with flask

heroku

heroku test at Devretreat

langchain_project

nn-from-scratch

Implementing a Neural Network from Scratch

plagio2

practnlptools

Practical Natural Language Processing Tools for Humans. Dependency Parsing, Syntactic Constituent Parsing, Semantic Role Labeling, Named Entity Recognisation, Shallow chunking, Part of Speech Tagging, all in Python.

project_december

Educational Technology

prueba1

excercise day 2 devretreat

pycon2019_voice

voice example for Pycon 2019

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

review_classification_with_doc2vec

Using doc2vec (similar to word2vec) and bag of words to classify movie reviews. Done for exploration purposes. This is not production ready code

ruby_group02

sample_app

Ruby on rails tutorial sample application

sample_ror_app

Sample RoR app

sentimentanalysis

Sentiment analysis (Decision trees / Random forest) of Amazon, Yelp and IMDB recommendations (R)

sentimentweb

Small Flask app to classify sentence sentiment

softwaredev

test for class 6300