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aix360

Open Source library to support interpretability and explainability of data and machine learning models

awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

awesome-gee

A curated list of Google Earth Engine resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-r

A curated list of awesome R packages, frameworks and software.

continuouslst

covid19_twitter

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

cs-video-courses

List of Computer Science courses with video lectures.

deep-learning-models

Keras code and weights files for popular deep learning models.

ee-palettes

A set of common color palettes for Google Earth Engine

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

gpboost

Combining tree-boosting with Gaussian process and mixed effects models

inmap

InMAP reduced-form air quality model for fine particulate matter (PM2.5)

jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

modis_restservice_qc_filter_r

movingpandas

Implementation of Trajectory classes and functions built on top of GeoPandas

mysite-hugo-academic

osmnx

OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

osmnx-examples

Usage examples, demos, and tutorials for OSMnx.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

rfmeval

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

stat_rethinking_2022

Statistical Rethinking course winter 2022

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

twitter_sentiment_analysis

Exploration of the Twitter API and sentiment & topic analysis on tweets relevant to COVID-19

vision

Datasets, Transforms and Models specific to Computer Vision

webinar-modis-viirs-august2018

Webinar: NASA ORNL DAAC MODIS and VIIRS Data Tools and Services at your Fingertips

workshop-r-intro

Workshop materials for Introduction to R

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow