mineral-processing

Open database for metallurgical & mining processes. Synthetic and official datasets for data science, ML, and Power BI. Includes Peruvian mining production data (MINEM 2021–2025).

Metallurgical Functions

U-Net segmentation of froth flotation bubbles | MSc Thesis @ University of Tabriz | 92.12% accuracy

Time-series forecasting system for silica concentration in mining using XGBoost, LSTM, and Transformer models, with a Streamlit dashboard for real-time analysis and optimization.

Supervisory control and decoupled MIMO PID regulation for a pilot-scale copper flotation column using PLC, OPC, and industrial HMI.

Mineral Processing Functions Add-in for Excel

Manage mass composition math operations and visualisation

A python library to improve ML algorithms by building physically constrained lag features from residence time distributions

Pure-Python mineral processing & extractive metallurgy calculations for students and engineers. Zero dependencies, unit-tested.

Global dataset on phosphate mining and beneficiation

Convert slurry density to volume/mass concentration, dry-solids tonnage and bank volume. For dredging and mineral processing.

A fabrication simulation where nothing is faked. Dirt, not ore. An AI and a human build the ancestor of AI from the ground up.

📊 Data Science project on industrial process optimization – predicting gold recovery efficiency (Zyfra case study)

C++20/OpenMP hybrid genetic algorithm for joint topology and operating-parameter optimization of mineral separation circuits.

Mining-DRS is an object-oriented Discrete Rate Simulation (DRS) framework for modeling continuous material-flow supply chains, focused on mining fleet, stockpile, and processing-plant operations. PyTorch-inspired, blazing fast, with built-in telemetry and Monte Carlo support.