korali
v3.0.1

Using Korali

  • Installation
  • Korali Basics
  • Parallel / Distributed Execution
  • Checkpoint / Resume
  • Tools

Examples

  • Bayesian Inference
  • Hierarchical Bayesian
  • Integration
  • Machine Learning
  • Optimization
  • Model Propagation
  • Propagation of Uncertainty
  • Sampling
  • Case-Study Applications

Features

  • Checkpoint / Resume
  • Korali + Korali Model
  • Concurrent Execution
  • Partial Runs
  • Running Multiple Experiments
  • Partial Runs
  • Running C++
  • Running C++ MPI Applications
  • Running Python MPI Applications
  • Preserving Results

Module Configuration

  • Experiment
  • Problems
  • Solver
    • Samplers
    • Agent
    • Executor
    • Integrator
    • Deep Learner
    • Optimizers
      • gridSearch
      • DEA (Differential Evolution Algorithm)
      • MADGRAD
      • MO-CMA-ES (Mutli-Objective Covariance Matrix Adaptation Evolution Strategy)
      • AdaBelief
      • CMAES (Covariance Matrix Adaptation Evolution Strategy)
      • Adam
      • RProp (Resilient Back Propagation)
  • Conduits
  • Distributions
  • Neural Network

Development

  • Extending Korali
  • Code Documentation
  • Github Repository
  • Build Status
  • Test Coverage
korali
  • »
  • Solver »
  • Optimizers
  • Edit on GitHub

Optimizers

These modules solve problem of type optimization.

Sub-Categories:

  • gridSearch
  • DEA (Differential Evolution Algorithm)
  • MADGRAD
  • MO-CMA-ES (Mutli-Objective Covariance Matrix Adaptation Evolution Strategy)
  • AdaBelief
  • CMAES (Covariance Matrix Adaptation Evolution Strategy)
  • Adam
  • RProp (Resilient Back Propagation)
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Read the Docs v: v3.0.1
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