laizacavalcante

github-readme-stats

:zap: Dynamically generated stats for your github readmes

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

data-science-interviews

Data science interview questions and answers

techniques

Techniques for deep learning with satellite & aerial imagery

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

badges

:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!

geemap

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

tslearn

The machine learning toolkit for time series analysis in Python

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

SimpleHTR

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

earthengine-py-notebooks

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

memo

Markdown knowledge base with bidirectional [[link]]s built on top of VSCode

Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Google-Earth-Engine-Python-Examples

Various examples for Google Earth Engine in Python using Jupyter Notebook

EEwPython

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

pcse

Repository for the Python Crop Simulation Environment

tobler

Spatial interpolation, Dasymetric Mapping, & Change of Support

gee-atmcorr-S2

Atmospheric correction of a (single) Sentinel 2 image

Pyspatialml

Machine learning modelling for spatial data

dtwSat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

tile2vec

Implementation and examples for Tile2Vec

ee_ipl_uv

Multitemporal Cloud Masking in the Google Earth Engine

CometTS

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

2019-CS109B

Weed-Mapping

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

stmetrics

Time Series Metrics

modis-gapfilling-full

stmetrics

Time Series Metrics

dtaidistance

Time series distances: Dynamic Time Warping (DTW)