korali
master
Using Korali
Installation
Korali Basics
Parallel / Distributed Execution
Checkpoint / Resume
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Bayesian Inference
Design
Hierarchical Bayesian
Integration
Optimization
Model Propagation
Propagation of Uncertainty
Reaction: Simulating the evolution of reactants
Deep Reinforcement Learning
Sampling
Supervised Learning
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
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Solver
Samplers
HMC (Hamiltonian Monte Carlo)
Nested Sampling
MCMC (Delayed Rejection Adaptive Metropolis Algorithm)
TMCMC (Transitional Markov Chain Monte Carlo)
Executor
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Extending Korali
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korali
Solver
Samplers
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Samplers
Sub-Categories:
HMC (Hamiltonian Monte Carlo)
Nested Sampling
MCMC (Delayed Rejection Adaptive Metropolis Algorithm)
TMCMC (Transitional Markov Chain Monte Carlo)
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