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e01

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

flask-ml-azure-serverless

Deploy Flask Machine Learning Application on Azure App Services

flasky

Companion code to my O'Reilly book "Flask Web Development", second edition.

full-stack-serverless-code

Code examples for my book Full Stack Serverless with O'Reilly Publications

gbfs

Documentation for the General Bikeshare Feed Specification, a standardized data feed for bike share system availability

github-actions-demo

This is a repo for building out Github Actions and Tricks

gptlab-streamlit

GPTLab - Streamlit Community Cloud

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

gtfs_data_pipeline

Pipeline for downloading GTFS data and creating city-sized PT network extracts using gtfspy

gtfspy

Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞

gtfspy-webviz

Interactive tools for GTFS data visualization and analysis

indirect-traffic-flows

Using transfer learning for indirect estimation of network-wide traffic flows from link speeds

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

intermediatepython

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

large-scale-graph-metrics

Get centralities for large scale graphs/ networks

leetcode-in-python-50-algorithms-coding-interview-questions

Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy

llama

Inference code for LLaMA models

matsim-example-project

A small example of how to use MATSim as a library.

matsim-maas

This project contains a collection of examples to run (Autonomous) Mobility as a Service in MATSim.

mckinsey-smartcities-traffic-prediction

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

mets-10

Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities

ml_proj_template

mobility-data-specification

A data standard to enable communication between mobility companies and local governments.

mobility-metrics

Tools for collecting, processing, and interpreting mobility data using SharedStreets

neurips2022-traffic4cast

np-gaussian-process

Numpy implementation of Gaussian Process Regression

open-traffic-collection

Collection of open data resources for traffic information

or-tools

Google's Operations Research tools: