A modular minifier, built on top of the PostCSS ecosystem.
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Updated
Apr 27, 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
A multi-scale energy systems modelling framework
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Comprehensive automatic differentiation in C++
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.
The Floyd programming language
⏱→ 🚀A set of tools for improving performance your application (balancer, performance, PerfKeeper, LazyPromise).
An Open Source .Net Constraint Programming Solver
Linear optimization with N-D labeled arrays in Python
Debloat & Optimise your Windows
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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