Time series prediction using dilated causal convolutional neural nets (temporal CNN)
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Updated
Jun 19, 2022 - Python
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Public web scraping scripts for the University of Toronto.
CoderDojo Toronto lessons, worksheets, and exercises. Printable or view online.
Organization, planning, and information related to Toronto's community network operation
Keras, Tensorflow eager execution implementation of Neural Processes
Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
Comparison Between Toronto and SF Taxes
Datasette of the City of Toronto's DineSafe data.
Keras, Tensorflow eager execution layers for exponential smoothing
Git mirror of Toronto RentSafeTO data
Get alerts for new rental properties within a custom area in Toronto
A tool for processing Toronto's lobbyist data.
Production-grade real-time transit analytics platform for Toronto TTC. Ingests GTFS Realtime feeds (vehicle positions & trip updates) every 30s, implements medallion architecture with MinIO data lake and Postgres warehouse. Airflow orchestration, Docker deployment. Built for analyzing delays, vehicle utilization, and service patterns.
Datasette of the City of Toronto's DoorsOpen data.
A prepared environment for beginners to start on data science(Python, Jupyter and Pandas), with code retrieving real time Covid-19 case open data, and sample plotting scripts.
A Python script designed to monitor and track price changes within the Greater Toronto Area (GTA).
A Python implementation of the DVUploader command-line bulk uploader for Dataverse repositories.
Automatically updated feed of upcoming events in Toronto, scraped from BlogTO and displayed with GitHub Pages.
A machine learning project that uses Toronto Police bicycle theft data to predict whether a bicycle has been stolen or recovered. Features are extracted and different models are trained to predict with varying accuracy.
analysis of retrospective transit route choice alternatives
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