Alternatives and similar repositories for symbolic-regression-python

Users that are interested in symbolic-regression-python are comparing it to the libraries listed below

• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• Avidereta / risk-averse-hetero-bo
  Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021
  ☆16Updated 3 years ago
• marcovirgolin / genepro
  A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
  ☆35Updated 2 months ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 7 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆36Updated 8 months ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 4 months ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆101Updated 5 years ago
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆55Updated 4 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆27Updated 3 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆36Updated last year
• Sinbad-The-Sailor / Abacus
  Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…
  ☆22Updated last year
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated 9 months ago
• asnelt / mixedvines
  Python package for canonical vine copula trees with mixed continuous and discrete marginals
  ☆49Updated last year
• bottler / iisignature
  Iterated integral signature calculations
  ☆113Updated 2 weeks ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆50Updated 2 years ago
• SigCGANs / Sig-Wasserstein-GANs
  ☆29Updated 2 years ago
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• kiudee / bayes-skopt
  A fully Bayesian implementation of sequential model-based optimization
  ☆42Updated 3 weeks ago
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆15Updated last year
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 3 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆23Updated 2 years ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆41Updated 7 months ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆43Updated 4 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago
• AlejandroSantorum / scikit-rmt
  Random Matrix Theory library - RMT analysis and simulation in Python
  ☆51Updated last month