Praful Dodda's Projects
Fusing data from Federal Reference Monitors of air quality, Chemical transport model data, Satellite data and Low-cost sensor data understanding Pros and cons of each dataset.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Quickly and accurately render even the largest data.
Deep learning air-pollution forecaster with Pytorch
Deep learning courses and projects
An updated R package deeper: Deep Ensemble for Environmental Predictor
This repo contains code+pre-trained models for extracting information from camera-trap images. The pre-trained models have been trained on the Snapshot Serengeti dataset.
Tools for working with and visualizing environmental simulations.
Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.
Create and processing emissions for numeric air quality models like WRF-Chem
Earth observation processing framework for machine learning in Python
Framework for 0-D Atmospheric Modeling
The fastai deep learning library
Simple reproduction of a limited set of functions for I/O API
Generating Covid-19 Analytics Report PDFS with Python
An introduction to geospatial analysis using Google Earth Engine
Downloading meteorological information from GFS
Gaussian processes framework in python
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
🍦 Never use print() to debug again.
This shell script assists WRF/CMAQ users in installing the Weather Research and Forecasting (WRF) model version 4.5 / US EPA Community Multiscale Air Quality Model (CMAQ) version 5.4 on Ubuntu 22.04.2 LTS in 64-bit system.
For the lab at UNC-IE
IPython extension for easy physical quantity input and calculations
A collection of Planet OS Jupyter notebooks.
Simulation of urban heat islands in Lausanne with the InVEST urban cooling model
Code in support of Nowack et al. AMT (2021) on machine learning and low cost sensor calibrations
Comparing distributions of low-cost sensors in terms of accuracy and equity of real-time air quality information
A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment