A smart contract library that emphasizes readability and onchain composability using EIP-2535 / EIP-8153 Diamonds.

Upgradeable Contracts using the Diamond Storage pattern.

A fast CLI for scaffolding and converting EIP-2535 Diamond Standard smart contract projects.

Machine Learning and Data Analysis on Diamonds Dataset

Examples for Flair SDK Contracts Framework

A solution of a one-dimensional diffusion equation describing He concentration in diamonds (sphere), affected by production (decay of U and Th) and diffusion. The solution is by finite difference - Crank-Nicholson method

A tutorial to create star charts using matplotlib

This report is an analysis on a diamonds dataset and what terms make impacts on the prices of the diamonds by building and analyzing a multiple linear regression model and data visualizations..

In this project, we are trying to predict the price of Diamonds with their information

Joyería en Madrid especializada en joyas con diamantes y piedras preciosas con taller de joyería propio. En nuestra web podrás encontrar un mundo de joyas para tus momentos más especiales

Source code for the causal set sprinkling simulations with MATLAB, developed during my PhD research at the University of York. Part 1/2 (see Readme file for more information).

A curated list of South African natural-diamond resources: pricing tools, cutting houses, GIA verification, Rapaport methodology, jewellery education.

Curated list of Rapaport-based diamond pricing methodology resources for jewellery buyers.

Analysis of level of impact of various diamonds' characteristics to its price.

Price diamonds using regression and decision tree models

💎 A rebuild of the classic 90s-era video game, using TypeScript, Preact, and Zustand.

Leverage machine learning models to predict price of diamond gemstone based on its physical attributes such as gemstone clarity, shape, color, etc.

A practical 24-step pre-purchase checklist for natural-diamond buyers. GIA verification, supplier vetting, pricing comparison.

End-to-end SQL and Python pipeline to identify stagnant diamond inventory and optimize capital allocation

This classic dataset contains the prices and other attributes of almost 54,000 diamonds. It's a great dataset for data analysis and visualization. This is a quick analysis of the dataset.