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Basic sampling algorithms for Julia.
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Published directory entries matching your search.
Basic sampling algorithms for Julia.
Supports software work with AI-assisted coding, testing or application development.
The Python ensemble sampling toolkit for affine-invariant MCMC.
Sample code and notebooks for Generative AI on Google Cloud.
Python module to perform under sampling and oversampling with various techniques.
A library of statistical distribution sampling and transducing functions.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.
Markov Chain Monte Carlo sampling toolkit.