3d_street_view

The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16

aqua_python

Jupyter notebooks and Python scripts for processing satellite imagery for use in training a CNN with TensorFlow

awesome-geospatial

Long list of geospatial tools and resources

danesfield-main

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

data-science-for-remote-sensing

All the useful tools I have been using while working in data science for remote sensing

deep-learning-from-simulated-data-for-flood-and-debris-flow-mapping

delta-deep-earth-learning-tools-and-analysis-a_framework-for-dl-on-sat-img

Deep Learning for Satellite Imagery

dem.net

Digital Elevation model library in C#. 3D terrain models, line/point Elevations, intervisibility reports

eo-learn

Earth observation processing framework for machine learning in Python

eo-learn-examples

Examples of Earth observation workflows that extract valuable information from satellite imagery, giving you hints and ideas how to use the EO data.

etci-2021-competition-on-flood-detection

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

etci-2021-snour

fire-detection-from-images

Detect fire in images using neural nets

flow

Flow is a sparse grid-based fluid simulation library for real-time applications.

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geospatialessentialpackages

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

getting-started-with-tensorflow

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

houston_flooding

Using A Segmentation Neural Net to map out flooded areas of Houston TX using satellite imagery

increase-the-image-size-with-interpolation

in this algorithm I used cubic spline interpolation to increase the size of an image without modifying the quality for example from the size (512x512) ----> (512x1024)

lightnet-segmentation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

lightweight-temporal-attention-pytorch

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

linearregressionfunctions

loopstructural

LoopStructural is an open-source 3D structural geological modelling library.

lulc-using-sentinel-2

An algorithm to classify 10 classes; using the Eurosat Dataset

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mathfast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval

mlspace

MLSpace: Hassle-free machine learning & deep learning development

mslearn-tailspin-spacegame-web

Code used in Microsoft Learn modules to support Azure DevOps

nerf-plus-plus

improves over nerf in 360 capture of unbounded scenes

noursoltani