Alternatives and similar repositories for fast-genetic-algorithms

Users that are interested in fast-genetic-algorithms are comparing it to the libraries listed below

• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• cair / pyTsetlinMachineParallel
  Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Mac…
  ☆43Updated 2 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 3 years ago
• gugarosa / opfython
  🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.
  ☆37Updated 4 months ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• wiseodd / lula
  Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
  ☆20Updated 4 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆39Updated 2 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆83Updated 3 years ago
• industrial-optimization-group / DESDEO
  An open source framework for interactive multiobjective optimization methods
  ☆35Updated this week
• GuillaumeStaermanML / FIF
  Source code for the ACML 2019 paper "Functional Isolation Forest".
  ☆21Updated 3 years ago
• ChanChiChoi / awesome-automl
  collecting related resources of automated machine learning here
  ☆55Updated 3 years ago
• tomogwen / fpdcluster
  Code for the paper "Fuzzy c-Means Clustering for Persistence Diagrams"
  ☆14Updated last year
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆27Updated 5 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆105Updated 2 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆89Updated 9 months ago
• benjaminpatrickevans / XAI
  Genetic programming method for explaining complex black-box models
  ☆19Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated last month
• AndriyMulyar / sklearn-oblique-tree
  a python interface to OC1 and other oblique decision tree implementations
  ☆45Updated 3 years ago
• smastelini / mtr-toolkit
  ☆16Updated 6 years ago
• QUVA-Lab / COMBO
  ☆51Updated 11 months ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• wgao9 / mixed_KSG
  ☆38Updated 7 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year