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actions

GitHub Actions for the R community

aermod

R package providing a data frame interface for performing AERMOD runs

aermod-1

A python library to prepare data for AERMOD model inputs (Hong Kong).

aermod_chem

Code development for AERMOD to add new chemistry schemes for NO2 and PM2.5

air-quality-analysis

Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)

aircalibrate

For calibrating PurpleAir PM2.5 data

airpyllution

Python package for visualising future, historic and current air pollution data

airsensor

Utilities for working with data from PurpleAir sensors

artificial-intelligence-and-data-science-pro

Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet

atchem2

Atmospheric chemistry box-model for the MCM

auto-py-to-exe

Converts .py to .exe using a simple graphical interface

automate-powerpoint

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

benmapr

Like EPA's BenMAP, but in R

bme-lab

This repository is to share codes within BME labmates

bmelib

BMElib is a powerful MATLAB numerical toolbox of Modern Spatiotemporal Geostatistics implementing the Bayesian Maximum Entropy (BME) theory.

calm-notebooks

notebooks that are used at calmcode.io

camxtools

pre- and post- processors for CAMx, CMAQ, GEOS-Chem, etc

census

A Python wrapper for the US Census API. Very similar to R's tidycensus

cmaq

Code base for the U.S. EPA’s Community Multiscale Air Quality Model (CMAQ). For additional background on CMAQ please visit: www.epa.gov/CMAQ

cmaqpy

Python package to automate CMAQ

coding-interview-university

A complete computer science study plan to become a software engineer.

course20

Deep Learning for Coders, 2020, the website

coursera-machine-learning-stanford

Machine learning-Stanford University

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

cudf

cuDF - GPU DataFrame Library

damp

Decentralized Air Quality Prediction using Machine Learning

damp-1

Decentralized Air quality Monitoring and Prediction