Alternatives and similar repositories for fastgp:

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

• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆34Updated 2 weeks ago
• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆54Updated 2 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• Ohjeah / cartesian
  a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.
  ☆23Updated 5 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated this week
• neonnnnn / pyrfm
  A library for random feature maps in Python.
  ☆16Updated 4 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆55Updated 6 years ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆32Updated last year
• natekupp / ffx
  Fast Function Extraction
  ☆82Updated 5 months ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• Decadz / Genetic-Programming-with-Rademacher-Complexity
  Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Pap…
  ☆15Updated last year
• ying531 / MCMC-SymReg
  Symbolic Regression using MCMC sampling
  ☆26Updated 3 years ago
• chenhh / PyMOGEP
  python multi-objective gene expression programming
  ☆11Updated 11 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• QUVA-Lab / COMBO
  ☆50Updated 7 months ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆53Updated last year
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 6 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆77Updated 5 months ago
• BigBayes / BNPMix.jl
  Bayesian Nonparametric Mixture Models in Julia
  ☆14Updated 7 years ago
• usnistgov / pysr
  a pure-python symbolic regression library built on deap
  ☆10Updated 8 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆32Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆17Updated 4 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year