C-Baldock's Stars
Project-AgML/AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
cathytanimura/sql_book
Code repository for the book SQL for Data Analysis
edgetrader/esg-nlp
Analysing ESG report using Natural Language Processing
2DegreesInvesting/r2dii.climate.stress.test
Functions and workflows to run financial stress tests on climate change related risk types
tanyazyabkina/GA4_API_python
Download GA4 data summaries using Google Analytics Data API and python
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
tableau/TabPy
Execute Python code on the fly and display results in Tableau visualizations:
DeltaInstitute/Financing-Soil-Wealth-Financial-Calculator
The Financing Soil Wealth calculator was created to assist farmers, lenders, and investors in determining profitable approaches to transitioning to regenerative organic farming for cropland.
nasaharvest/openmapflow
Rapid map creation with machine learning and earth observation data.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
moderndatadesign/PyR4MDS
Companion code repository for the O'Reilly "Python and R for the Modern Data Scientist" book.
public-api-lists/public-api-lists
A collective list of free APIs for use in software and web development 🚀
stuartemiddleton/geoparsepy
geoparsepy is a Python geoparsing library that will extract and disambiguate locations from text. It uses a local OpenStreetMap database which allows very high and unlimited geoparsing throughput, unlike approaches that use a third-party geocoding service (e.g. Google Geocoding API). this repository holds Python examples to use the PyPI library.