kstaats / karoo_gp

Related projects ⓘ

Alternatives and complementary repositories for karoo_gp

• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆92Updated 3 years ago
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆108Updated 2 years ago
• natekupp / ffx
  Fast Function Extraction
  ☆80Updated last month
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆54Updated 2 years ago
• erp12 / pyshgp
  Push Genetic Programming in Python.
  ☆74Updated last year
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• ShuhuaGao / geppy
  A framework for gene expression programming (an evolutionary algorithm) in Python
  ☆206Updated last year
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆33Updated 4 months ago
• moshesipper / tiny_gp
  Tiny Genetic Programming in Python.
  ☆97Updated last year
• cdvetal / TensorGP
  A vectorized approach to Genetic Programming
  ☆42Updated 4 months ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• Ohjeah / cartesian
  a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.
  ☆23Updated 4 years ago
• philipperemy / fractional-differentiation-time-series
  As described in Advances of Machine Learning by Marcos Prado.
  ☆119Updated 2 years ago
• ritchieng / fractional_differencing_gpu
  Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-40…
  ☆55Updated 5 years ago
• vanhooser / TF-Genetic
  Evolutionary Neural Networks backed by TensorFlow and pure Python
  ☆108Updated 7 years ago
• ibm-research-tokyo / dybm
  Dynamic Boltzmann Machines
  ☆136Updated 5 months ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆50Updated 9 months ago
• chrisstroemel / Simple
  Experimental Global Optimization Algorithm
  ☆481Updated 6 years ago
• PonyGE / PonyGE2
  PonyGE2: grammatical evolution and variants in Python
  ☆157Updated last year
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 5 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆112Updated 9 years ago
• mpstewart1 / EchoStateNetworks
  Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
  ☆49Updated 4 years ago
• automl / random_forest_run
  ☆35Updated 2 months ago
• MisterTea / HyperNEAT
  The original implementation of HyperNEAT in C++
  ☆91Updated 7 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆76Updated 3 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆483Updated 5 years ago
• travisdesell / exact
  EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
  ☆55Updated 3 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆75Updated 5 years ago