Pinned Repositories
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
Bet-arbitrage-finder
A simple selenium script to scrape oddschecker.com and find arbitrage opportunities in betting markets.
bugcrowd_university
Open source education content for the researcher community
cartodb
Location Intelligence & Data Visualization tool
cryptocurrency_arbitrage
Automated Trading program that detects pairwise and triangular arbitrage opportunities on altcoin/bitcoin exchanges
FastLED
The main FastLED library (successor to FastSPI_LED). Please direct questions/requests for advice to the reddit community - http://fastled.io/r - we'd like to keep issues to just tracking bugs/enhancements/tasks. *NOTE* major library work is currently on hold
gesengi
github-collaborations
Learn how to collaborate on GitHub.
Hello
Just another repository
hello_world
just another code
gesengi's Repositories
gesengi/bugcrowd_university
Open source education content for the researcher community
gesengi/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
gesengi/Bet-arbitrage-finder
A simple selenium script to scrape oddschecker.com and find arbitrage opportunities in betting markets.
gesengi/cartodb
Location Intelligence & Data Visualization tool
gesengi/cryptocurrency_arbitrage
Automated Trading program that detects pairwise and triangular arbitrage opportunities on altcoin/bitcoin exchanges
gesengi/FastLED
The main FastLED library (successor to FastSPI_LED). Please direct questions/requests for advice to the reddit community - http://fastled.io/r - we'd like to keep issues to just tracking bugs/enhancements/tasks. *NOTE* major library work is currently on hold
gesengi/gesengi
gesengi/github-collaborations
Learn how to collaborate on GitHub.
gesengi/Hello
Just another repository
gesengi/hello_world
just another code
gesengi/landcover
Land Cover Mapping
gesengi/peregrine
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
gesengi/pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
gesengi/rasterio
Rasterio reads and writes geospatial raster datasets
gesengi/sarbian
We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing. SARbian is free for use in research, education or operational work.