brito-m

followers

following

stars

SIRGAS 2000 UTM 20S

Marcelo Brito's starred repositories

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookApache-2.04574000

PMV-ADS-2023-1-E1-PROJ-WEB-T15-Time3-CineGuide

pmv-ads-2023-1-e1-proj-web-t15-time3-CineGuide created by GitHub Classroom

Language:CSS100

Photogrammetry-Guide

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

Language:Python109200

pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Language:PythonApache-2.01080100

raster4ml

A geospatial raster processing library for machine learning

Language:PythonMIT12000

GeostatsPy

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

Language:Jupyter NotebookMIT46600

python-funcional

Quase um livro, quase um tutorial, quase qualquer coisa

Language:Python27400

live-de-python

Repositório das lives de python semanais

Language:PythonMIT115200

SampleData

Sample datacards, shapefiles, and other files you can use for testing

MIT2800

leafmap

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

Language:PythonMIT310000

clean-code-python

:bathtub: Clean Code concepts adapted for Python

Language:PythonMIT433100

Google-Earth-Engine-Python-Examples

Various examples for Google Earth Engine in Python using Jupyter Notebook

Language:Jupyter NotebookApache-2.030800

geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

Language:PythonMIT332900

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Language:Jupyter NotebookMIT134700

EEwPython

A series of Jupyter notebook to learn Google Earth Engine with Python

Language:Jupyter Notebook27000

gee-atmcorr-S2

Atmospheric correction of a (single) Sentinel 2 image

Language:Jupyter NotebookApache-2.014300

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

Language:Jupyter Notebook242100

data-science-interviews

Data science interview questions and answers

Language:HTMLCC-BY-4.0858900

GEET

Google Earth Engine Toolbox - Library to write small EE apps or big/complex apps with a lot less code.

Language:JavaScript15600

Weed-Mapping

Weed Mapping in Aerial Images through Identification and Segmentation of Crop Rows and Weeds using Convolutional Neural Networks

Language:Python4300

example-scripts

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

MIT8600

example-scripts

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

MIT300