Giuliano Langella's repositories
2023-04-25-ds-geospatial-python-EGU
Material for the EGU23 Short Course: "Introduction to Geospatial Raster and Vector Data with Python"
alpaca-trade-api-python
Python client for Alpaca's trade API
automl-in-action-notebooks
Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
awesome-panel-introduction
A repository containing an introduction to Panel made to be support videos and talks.
compss
COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.
dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
DL-field-delineation
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
examind-community
Examind Community (formerly known as Constellation-SDI) is an open source platform dedicated to geographic data infrastructures development. It constitutes the foundation of custom developments carried out by Geomatys and results from more than 10 years of R&D.
georchestra
This is the main geOrchestra Spatial Data Infrastructure repository, which hosts the source code.
get_modis
Downloading MODIS data from the USGS repository
Llama2RAG
A working example of RAG using LLama 2 70b and Llama Index
lsenv
commands to manage the landsupport ENVIRONMENTS
M5-ProductExampleCodes
All example codes of products supplied by M5Stack have been collected in this reposity.
master_unipd
Stuff related to the UNIPD Master
PRAGA
PRAGA PRogram for AGrometeorological Analysis
repo2docker
Turn repositories into Jupyter-enabled Docker images
rpi_stuff
It collects all the stuff coming from any device
rstudio-classroom
two Rstudio server dockers to manage every didactic requirement
sentinelhub-py
Download and process satellite imagery in Python using Sentinel Hub services.
sentinelsat
Search and download Copernicus Sentinel satellite images
swarm_learning
Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020
trends.earth
trends.earth - measure land change
trends.earth-algorithms
Python package with functions for assessing land change, drought vulnerability, and urbanization
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite