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A modular minifier, built on top of the PostCSS ecosystem.
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
A program for financial portfolio management, analysis and optimisation.
PyPSA: Python for Power System Analysis
Optimization functions for Julia
GRIN is a compiler back-end for lazy and strict functional languages with whole program optimization support.
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Powerful automatic differentiation in C++ and Python
Evolutionary & genetic algorithms for Julia
A multi-scale energy systems modelling framework
State-of-the art Automated Machine Learning python library for Tabular Data
CLI tool for texture compression using ASTC, ETC, PVRTC and S3TC in a KTX container.
Linear optimization with N-D labeled arrays in Python
An Open Source .Net Constraint Programming Solver
⏱→ 🚀A set of tools for improving performance your application (balancer, performance, PerfKeeper, LazyPromise).
The Solar Optimizer integration for Home Assistant starts and stops your equipments depending on the Solar net production
Optimal Scheduling of Electric Vehicle Charging in Distribution Networks
A versatile python framework for tomographic imaging