A modular minifier, built on top of the PostCSS ecosystem.
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Updated
Sep 12, 2024 - CSS
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.
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
Evolutionary & genetic algorithms for Julia
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
A multi-scale energy systems modelling framework
Powerful automatic differentiation in C++ and Python
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
⏱→ 🚀A set of tools for improving performance your application (balancer, performance, PerfKeeper, LazyPromise).
An Open Source .Net Constraint Programming Solver
Debloat & Optimise your Windows
The Floyd programming language
CS F425 Deep Learning course at BITS Pilani (Goa Campus)
System.Linq.Expression expressions optimizer. http://thorium.github.io/Linq.Expression.Optimizer
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