Py-nevergrad

Jul 20, 2023

Python toolbox for performing gradient-free optimization

Nevergrad is a gradient-free optimization platform.

The goals of this package are to provide

  • gradient/derivative-free optimization algorithms, including algorithms able to handle noise.
  • tools to instrument any code, making it painless to optimize your parameters/hyperparameters, whether they are continuous, discrete or a mixture of continuous and discrete variables.
  • functions on which to test the optimization algorithms.
  • benchmark routines in order to compare algorithms easily.


Checkout these related ports:
  • Zn_poly - C library for polynomial arithmetic
  • Zimpl - Language to translate the LP models into .lp or .mps
  • Zegrapher - Software for plotting mathematical objects
  • Zarray - Dynamically typed N-D expression system based on xtensor
  • Z3 - Z3 Theorem Prover
  • Yices - SMT solver
  • Yacas - Yet Another Computer Algebra System
  • Xtensor - Multi-dimensional arrays with broadcasting and lazy computing
  • Xtensor-python - Python bindings for xtensor
  • Xtensor-io - Xtensor plugin to read/write images, audio files, numpy npz and HDF5
  • Xtensor-blas - BLAS extension to xtensor
  • Xspread - Spreadsheet program for X and terminals
  • Xppaut - Graphical tool for solving differential equations, etc
  • Xplot - X11 plotting package
  • Xlife++ - XLiFE++ eXtended Library of Finite Elements in C++