12 packages tagged with “probabilistic”
Maybe.NET is a library of probabilistic data structures. Instantly start using bloom filters, skip lists, count min sketch, and more!
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains classes and methods needed to execute the inference code.
A small .Net Standard library used to model simple State Machines
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains the Infer.NET Compiler, which takes model descriptions written using the Infer.NET API and converts them into inference code.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains complete machine learning applications including a classifier and a recommender system.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.
Probabilistic data structures (BloomFilter, CountMinSketch, HyperLogLog) for Omni.Collections
Some solvers for combinatorial problems and probabilistic inversion
Librería de cadenas de Markov para .NET
A high-performance XOR filter implementation for .NET providing fast membership testing with low false positive rates and memory efficiency. Now with zero-allocation ReadOnlySpan<byte> API.