Abstract types and methods for Gaussian Processes.
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Repositórios de cscherrer
Update immutable data
A Julia implementation of Bayesian linear regression using marginal likelihood for hyperparameter optimization, as presented in Chris Bishop's book.
Implementation of normalising flows and constrained random variable transformations
BlockArrays for Julia
Compatibility across Julia versions
A constant RNG, for cases when you need high efficiency and don't care about randomness
Benchmarking scripts and models for the Turing language
Continuous transformations from ℝ or ℝⁿ to various open sets
Option, Try, Either, and some more common basic DataTypes
An alternative interface for dictionaries in Julia, for improved productivity and performance
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Iterators with message passing and feedback loops
Implementing extensible effects in Julia
Julia package for lazily representing matrices filled with a single entry
Frequency tables in Julia