Alternatives and similar repositories for HROCH

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

• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆33Updated last year
• hengzhe-zhang / EvolutionaryForest
  An open source python library for automated feature engineering based on Genetic Programming
  ☆146Updated 2 months ago
• marcovirgolin / genepro
  A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
  ☆34Updated 11 months ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆54Updated last month
• manujosephv / GATE
  ☆18Updated 2 years ago
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆50Updated 4 years ago
• intell-sci-comput / RSRM
  code of ICLR 2024 paper Reinforcement Symbolic Regression Machine
  ☆13Updated last year
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆33Updated 3 years ago
• qidigit / CNN_tKdV
  Using Machine Learning to Predict Extreme Events in Complex Systems
  ☆14Updated 5 years ago
• yihengsun / TransBoost
  TransBoost algorithm for transfer learning
  ☆36Updated 2 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆29Updated 2 years ago
• EtashGuha / R2CCP
  ☆22Updated last year
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆75Updated 2 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆84Updated last month
• ThomasMeissnerDS / BlueCast
  A lightweight and fast auto-ml library
  ☆76Updated 3 months ago
• MaLeLabTs / GPFormulasInterpretability
  Meta-learning approach for human-interpretable formulas generation
  ☆10Updated 5 years ago
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆34Updated this week
• sn-code-inside / online-machine-learning
  ☆19Updated 10 months ago
• Matt-OP / hillclimbers
  A python module that uses hill climbing to iteratively blend machine learning model predictions.
  ☆54Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆138Updated 3 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• cdvetal / TensorGP
  A vectorized approach to Genetic Programming
  ☆46Updated 2 months ago
• cgarciae / quantile-regression
  ☆22Updated 3 years ago
• SamirMoustafa / Time-Series-Classification
  The official implementation for the paper R.Castro, S.Moustafa, P.Pilyugina, E.Burnaev "Topologically-based Variational Autoencoder for T…
  ☆17Updated 5 years ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆120Updated last year
• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 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
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆16Updated last month