lally elias's starred repositories
images-to-osm
Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.
Mastering-Geospatial-Analysis-with-Python
Mastering Geospatial Analysis with Python, published by Packt
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
mapservicereader
Read data from a map service and write to a shapefile
censusdownload
Download Public Census Data
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
pycodestyle
Simple Python style checker in one Python file
Scala-Spark-Product-Sales-Analysis
Scala application to process, and analyze product sales using Spark
LecturesSignalProcessing
A series of Jupyter notebooks on signal processing
datafusion-ballista-python
Apache Arrow Ballista Python bindings
arrow-cookbook
Apache Arrow Cookbook
arrow-flight-sql-postgresql
Apache Arrow Flight SQL adapter for PostgreSQL
datafusion-python
Apache DataFusion Python Bindings
datafusion-ballista
Apache Arrow Ballista Distributed Query Engine
datafusion
Apache DataFusion SQL Query Engine
arrow-nanoarrow
Helpers for Arrow C Data & Arrow C Stream interfaces
arrow-adbc
Database connectivity API standard and libraries for Apache Arrow
ModernCppStarter
🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
Python-Spark-Log-Analysis
Python scripts to process, and analyze log files using PySpark.
Python-Joblib-Cookbook
A step-by-step guide to master various aspects of Joblib for parallel computing in Python
US-Inaugural-Addresses
Python scripts to download, process, and analyze US Inaugural Addresses
NYC-TLC-Trip-Data
Python scripts to download, process, and analyze NYC TLC trip data
US-Gas-Prices
Python scripts that scrape US gas prices
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.