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225 public repositories
matching this topic...
A modular minifier, built on top of the PostCSS ecosystem.
GRIN is a compiler back-end for lazy and strict functional languages with whole program optimization support.
Updated
Apr 18, 2021
Haskell
Optimization functions for Julia
Updated
Apr 30, 2021
Julia
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
PyPSA: Python for Power System Analysis
Updated
May 4, 2021
Python
A program for financial portfolio management, analysis and optimisation.
Updated
Apr 5, 2021
Python
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
CLI tool for texture compression using ASTC, ETC, PVRTC and S3TC in a KTX container.
Updated
Oct 29, 2020
TypeScript
The Floyd programming language
⏱ → 🚀 A set of tools for improving performance your application (balancer, performance, PerfKeeper, LazyPromise).
Updated
Mar 10, 2021
TypeScript
State-of-the art Automated Machine Learning python library for Tabular Data
Updated
Mar 7, 2021
Python
An Open Source .Net Constraint Programming Solver
Purely functional genetic algorithms for multi-objective optimisation
Updated
Jan 5, 2021
Scala
An R package for optimization using genetic algorithms
macOS GUI helper for ccache
Updated
Mar 6, 2021
Swift
Deploy Magento2 with Varnish Cache and Redis with SSL termination using Docker-compose tool
Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).
Solving a TSP with the CPLEX C++ API.
Optimal Scheduling of Electric Vehicle Charging in Distribution Networks
Updated
Jun 9, 2018
Python
⚡ Eigen-js is a port of the Eigen C++ linear algebra library
Comprehensive caching and performance plugin for WordPress
Bits of sweet C++ code that I use often.
Python and MATLAB code for Stein Variational sampling methods
Updated
May 25, 2019
Jupyter Notebook
Library for solving quantum optimal control problems in Julia. Currently offers support for GRAPE and dCRAB algorithms using piecewise constant controls.
Updated
Apr 20, 2021
Julia
Gaussian-Processes Surrogate Optimisation in python
Updated
Dec 18, 2020
Python
Solar thermal power/fuel station performance simulation and optimisation using Modelica. Read a paper about our project:
https://is.gd/solth
Updated
May 4, 2021
Modelica
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Problem description
We only allow timeseries data to be added to the model from CSV. Ideally we would also have the possibility of having e.g.
resource: dataframe=df:columnfor any dataframedfloaded into the current instance of Python.Steps to introduce functionality