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    • deephyper

      Public
      DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
      Python
      BSD 3-Clause "New" or "Revised" License
      60272191Updated Sep 30, 2024Sep 30, 2024
    • tutorials

      Public
      A collection of tutorials for DeepHyper.
      Jupyter Notebook
      BSD 2-Clause "Simplified" License
      5301Updated Sep 9, 2024Sep 9, 2024
    • SDV

      Public
      Synthetic Data Generation for tabular, relational and time series data.
      Python
      Other
      304000Updated Jul 29, 2024Jul 29, 2024
    • Experimental repository for the paper on Parallel Multi-Objective Bayesian Hyperparameter Optimization with Normalized and Bounded Objectives
      Python
      BSD 3-Clause "New" or "Revised" License
      0100Updated Apr 12, 2024Apr 12, 2024
    • Spack packages to use DeepHyper.
      Python
      BSD 3-Clause "New" or "Revised" License
      0100Updated Apr 12, 2024Apr 12, 2024
    • Scaling Bayesian Optimization
      Jupyter Notebook
      BSD 2-Clause "Simplified" License
      2402Updated Apr 4, 2024Apr 4, 2024
    • bo-moo

      Public
      Experimental scripts and analysis for multi-objective Bayesian optimization
      Jupyter Notebook
      0000Updated Apr 4, 2024Apr 4, 2024
    • benchmark

      Public
      Repository to benchmark DeepHyper on different systems.
      Python
      BSD 2-Clause "Simplified" License
      3460Updated Apr 4, 2024Apr 4, 2024
    • pymoo

      Public
      NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
      Python
      Apache License 2.0
      382000Updated Nov 17, 2023Nov 17, 2023
    • scikit-learn: machine learning in Python
      Python
      BSD 3-Clause "New" or "Revised" License
      25k000Updated Nov 6, 2023Nov 6, 2023
    • A garden for scikit-learn compatible trees
      Python
      Other
      74000Updated Oct 30, 2023Oct 30, 2023
    • Ruby
      1000Updated Aug 2, 2023Aug 2, 2023
    • A python library to build Model Trees with Linear Models at the leaves.
      Jupyter Notebook
      MIT License
      53000Updated Jun 2, 2023Jun 2, 2023
    • Sequential model-based optimization with a `scipy.optimize` interface
      Python
      BSD 3-Clause "New" or "Revised" License
      547002Updated May 30, 2023May 30, 2023
    • .github

      Public
      0000Updated Apr 19, 2023Apr 19, 2023
    • This repository provides a set of configuration files and example scripts for running DeepHyper experiments on various platforms.
      BSD 3-Clause "New" or "Revised" License
      0030Updated Mar 2, 2023Mar 2, 2023
    • A place to submit conda recipes before they become fully fledged conda-forge feedstocks
      Python
      BSD 3-Clause "New" or "Revised" License
      4.9k000Updated Feb 2, 2023Feb 2, 2023
    • nasbench

      Public
      NASBench: A Neural Architecture Search Dataset and Benchmark
      Python
      Apache License 2.0
      129000Updated Jan 19, 2023Jan 19, 2023
    • lcdb

      Public
      Jupyter Notebook
      4000Updated Dec 5, 2022Dec 5, 2022
    • Jupyter Notebook
      BSD 2-Clause "Simplified" License
      4900Updated Nov 9, 2022Nov 9, 2022
    • PPPL deep learning disruption prediction package
      Python
      43100Updated Sep 23, 2022Sep 23, 2022
    • Collection of scripts to start faster with DeepHyper on specific systems.
      Python
      BSD 2-Clause "Simplified" License
      0200Updated Aug 30, 2022Aug 30, 2022
    • metalgpy

      Public
      A library to write algorithms manipulating other algorithms. MetalgPy stands for Meta-Algorithm with Python.
      Python
      BSD 2-Clause "Simplified" License
      1220Updated Jul 14, 2022Jul 14, 2022
    • CTGAN

      Public
      Conditional GAN for generating synthetic tabular data.
      Python
      MIT License
      282000Updated May 5, 2022May 5, 2022
    • Jupyter Notebook
      498000Updated Feb 10, 2022Feb 10, 2022
    • A benchmark dataset for data-driven weather forecasting
      Jupyter Notebook
      MIT License
      166000Updated Jan 12, 2022Jan 12, 2022
    • CCS

      Public
      CCS (C Configuration Space and Tuning Library) aims at providing interoperability between autotuning frameworks and applications with auto-tuning needs. It does so by providing a C interface to describe autotuning problems and autotuners.
      C
      Other
      1000Updated Dec 15, 2021Dec 15, 2021
    • Python
      Other
      93000Updated Nov 24, 2021Nov 24, 2021
    • ECP-CANDLE Benchmarks
      Python
      MIT License
      82000Updated Nov 8, 2021Nov 8, 2021
    • Neural architecture search for big data problems
      Jupyter Notebook
      BSD 2-Clause "Simplified" License
      2410Updated Nov 8, 2021Nov 8, 2021