Alternatives and similar repositories for glyph

Users that are interested in glyph are comparing it to the libraries listed below

• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• ffx-org / ffx
  Fast Function Extraction
  ☆85Updated last month
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated last month
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆112Updated 2 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆87Updated 11 months ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 6 months ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆114Updated last year
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆55Updated last year
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 3 months ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 5 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 4 months ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 6 years ago
• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆56Updated 2 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆54Updated last month
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆141Updated 6 months ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• pypmc / pypmc
  Clustering with variational Bayes and population Monte Carlo
  ☆50Updated 11 months ago
• crflynn / fbm
  Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python
  ☆99Updated 4 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆40Updated last year
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 2 months ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆85Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆222Updated 8 months ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆52Updated 3 months ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 7 months ago