ajrojas1's Stars
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
ageron/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.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
onlurking/awesome-infosec
A curated list of awesome infosec courses and training resources.
fizyr/keras-retinanet
Keras implementation of RetinaNet object detection.
chrieke/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
gee-community/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
remzi-arpacidusseau/ostep-code
Code from various chapters in OSTEP (http://www.ostep.org)
rmcelreath/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
opengeos/python-geospatial
A collection of Python packages for geospatial analysis with binder-ready notebook examples
nealjean/predicting-poverty
Combining satellite imagery and machine learning to predict poverty
intere/hacking
Source code from Hacking: The Art of Exploitation (Second Edition).
javedali99/python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
csaybar/EEwPython
A series of Jupyter notebook to learn Google Earth Engine with Python
skhiggins/Stata_guide
Stata instructions for research projects
skhiggins/R_guide
R instructions for our research projects
giswqs/GEE-Courses
A collection of Jupyter notebooks for GEE Courses
ankitkariryaa/An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
jmathur25/predicting-poverty-replication
A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
eehh-stanford/SNA-workshop
Webpage materials for AAPA network workshop
pbreheny/visreg
Visualization of regression functions
shakasom/rs-python-tutorials
Remote sensing with Python tutorials
giswqs/pypackage
Cookiecutter template creating a Python package with mkdocs
jaspereb/Retinanet-Tutorial
A tutorial on using the Retinanet deep network to train an object detector on your own data
giswqs/gee-tutorials
Google Earth Engine tutorials
maxwell-geospatial/topoDL
Semantic segmentation applied to historic topogrpahic maps
ipums/pma-data-hub
PMA Data Analysis Hub
fjodor/visualizing-regression
Visualizing Regression models in R (ggplot2), including interaction effects and 3D (plotly).