DoE with Computational Interactive SeqOpt for Response Yield
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Updated
Oct 6, 2026 - Julia
DoE with Computational Interactive SeqOpt for Response Yield
Thorough system optimizer script for Linux
Performance Profiling & Optimisation of Research Code (Python) - Short Course
Performance Profiling & Optimisation (Python) - Short Course
PyPSA: Python for Power System Analysis
Convert plain-English problem description into a Timefold solver prototype
🔍 Analyze network vulnerabilities and strengthen resilience by identifying critical nodes and removing risky connections with CritiCut's advanced graph tools.
A multi-scale energy systems modelling framework
A modular CSS minifier, built on top of the PostCSS ecosystem.
A power market simulator for day-ahead, intraday and balancing markets in pure Python.
Linear optimization with N-D labeled arrays in Python
The most powerful caching and performance suite for WordPress. https://wordpress.org/plugins/powered-cache/
Provide efficient event-driven Python tools for accurate multi-asset quantitative backtesting with local data caching and detailed trade logging.
🚀 Boost Node.js performance with native C++ for File I/O and SIMD tasks, demonstrating significant speed increases over standard JavaScript implementations.
Optimising F1 fantasy team selections using historical race data and predictive modelling
Free roster proposal tool. Sketch shift rosters, fill vacant shifts, check rest rules and compare options. Works offline, no sign-up, and your data stays on your device.
Vector based Energy Optimization Framework
Implementation of the two-phase simplex method in exact rational arithmetic.
Forecast-driven dispatch of a GB grid-scale battery: MILP optimiser, LightGBM day-ahead price forecasts and a point-in-time backtest capturing 63% of perfect-foresight revenue on 2023–24 Elexon/NESO data.
Python-based district energy system model for simulation and optimisation of heat, electricity, and storage at district scale.
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