till90's Stars
danielmiessler/fabric
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
wsvincent/awesome-django
A curated list of awesome things related to Django
llazzaro/django-scheduler
A calendaring app for Django.
pennersr/django-allauth
Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.
plotly/dash-labs
Work-in-progress technical previews of potential future Dash features.
RafaelMiquelino/dash-flask-login
Implementation of Flask-login on top of Dash.
aptible/supercronic
Cron for containers
jupyter-book/jupyter-book
Create beautiful, publication-quality books and documents from computational content.
rumblerina/radonfluxpredictor
This project takes weather and radon data and uses Tensorflow to predict the radon flux
obspy/obspy
ObsPy: A Python Toolbox for seismology/seismological observatories.
plotly/jupyter-dash
OBSOLETE - Dash v2.11+ has Jupyter support built in!
earthobservations/luftdatenpumpe
Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
bundesAPI/pegel-online-api
Pegelstände der Messstellen des bundesweiten Messstellennetzes der Wasserstraßen- und Schifffahrtsverwaltung des Bundes.
gboeing/osmnx
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
opengeos/leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
earthobservations/wetterdienst
Open weather data for humans.
gmassei/SoilTexture
Build soil texture map from sand and clay raster maps
sagitta1618/soiltexture
chrieke/InstanceSegmentation_Sentinel2
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
alabarga/geospatial-python
geospatial analysis tutorial
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
till90/irrigation_detection
Find out where and when fields within hessisches Ried are irrigated?
sktime/sktime
A unified framework for machine learning with time series
developmentseed/satTS
ML pipeline to classify crop types with multi-spectral and multi-temporal EO data
MarcCoru/crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
danpower101/crspy
crspy is a python package for the processing and calibration of cosmic-ray neutron sensors
giswqs/earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
jensleitloff/CNN-Sentinel
Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)