NRules is an open source rules engine for .NET that is based on the Rete matching algorithm. NRules is an inference engine that, among other features, supports forward chaining, negative, existential and universal quantifiers. Rules are authored in C# using internal DSL.
This package installs the e...

NRules is an open source rules engine for .NET that is based on the Rete matching algorithm. NRules is an inference engine that, among other features, supports forward chaining, negative, existential and universal quantifiers. Rules are authored in C# using internal DSL.

NRules is an open source rules engine for .NET that is based on the Rete matching algorithm. NRules is an inference engine that, among other features, supports forward chaining, negative, existential and universal quantifiers. Rules are authored in C# using internal DSL.
This package installs the c...

NRules is an open source rules engine for .NET that is based on the Rete matching algorithm. NRules is an inference engine that, among other features, supports forward chaining, negative, existential and universal quantifiers. Rules are authored in C# using internal DSL.
This package installs the f...

Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of interest, in real-time.
For example, given a spoken command "Can I have a small double-shot espresso with a lot of sugar and some milk", Rhino infers that the user wants to order ...

Microsoft Machine Learning Scoring library for deep learning model inference. Current version of the library supports inferencing on ONNX v1.3 and TensorFlow v1.10.0 models. The library supports CPU execution with MKL/MKLDNN acceleration. Also supports CUDA GPU devices. For CPU execution of ONNX mod...

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.

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 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 classes and methods needed to execute the 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 visualization tools for exploring and analyzing models on Windows platform.