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Praful Dodda's Projects

data-fusion icon data-fusion

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.

data-science-cheatsheet icon data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

datashader icon datashader

Quickly and accurately render even the largest data.

deeper icon deeper

An updated R package deeper: Deep Ensemble for Environmental Predictor

deep_learning_for_camera_trap_images icon deep_learning_for_camera_trap_images

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.

earthsim icon earthsim

Tools for working with and visualizing environmental simulations.

emisqa icon emisqa

Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.

emissv icon emissv

Create and processing emissions for numeric air quality models like WRF-Chem

eo-learn icon eo-learn

Earth observation processing framework for machine learning in Python

f0am icon f0am

Framework for 0-D Atmospheric Modeling

fastai icon fastai

The fastai deep learning library

fauxioapi icon fauxioapi

Simple reproduction of a limited set of functions for I/O API

get-gfs icon get-gfs

Downloading meteorological information from GFS

gpy icon gpy

Gaussian processes framework in python

handson-ml2 icon handson-ml2

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.

install-wrf-4.5-cmaq-5.4-on-ubuntu icon install-wrf-4.5-cmaq-5.4-on-ubuntu

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.

ipython-physics icon ipython-physics

IPython extension for easy physical quantity input and calculations

lcs-ml-calib icon lcs-ml-calib

Code in support of Nowack et al. AMT (2021) on machine learning and low cost sensor calibrations

lcs_placement_sims icon lcs_placement_sims

Comparing distributions of low-cost sensors in terms of accuracy and equity of real-time air quality information

leafmap icon leafmap

A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment

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