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gee_tools

Google Earth Engine Tools (scripts)

geocompr

Open source book: Geocomputation with R

geohackweek.github.io

geostatistical_delta-glmm

Tool for geostatistical analysis of survey data, for use when estimating an index of abundance

googleearthengine

Google Earth Engine Tutorial

graph_nets

Build Graph Nets in Tensorflow

hands-on-exploratory-data-analysis-with-r

Hands-On-Exploratory-Data-Analysis-with-R, published by Packt

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

hands-on-transfer-learning-with-python-1

Hands On Transfer Learning with Python, published by Packt

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

interactive-data-visualization-with-python

Present your data as an effective and compelling story

irkernel

R kernel for Jupyter

itsabot

ItsAbot makes it easy and fun to build your own digital assistant, and we include everything you need to get started.

jarvis_workshop_2021

lbspr

Length Based Spawning Potential Ratio R Package

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

mathematicsbiostatisticsbootcamp2

The github repository for mathematical biostatistics bootcamp 2

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mist

Multispecies Interactions Spatio-Temporal model (based on Ives et al. 2003 and co-integration models)

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlrs

mt-opus

English-Thai Machine Translation with OPUS data

neon-data-skills

Self-paced tutorials that review key data literacy concepts and data analysis skills. Published materials can be found at:

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

neural-style

Torch implementation of neural style algorithm

neuralgenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

numpyann

Implementation of artificial neural networks using NumPy in addition to extraction of features and classification of the Fruits360 image dataset

nvim-r

Vim plugin to work with R

nycflights13

An R data package containing all out-bound flights from NYC in 2013 + useful metdata