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...
More information
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...
More information
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...
More information
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 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.
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...
More information
Picovoice is an end-to-end platform for building voice products on your terms. It enables creating voice experiences similar to Alexa and Google. But it entirely runs 100% on-device.
Picovoice is:
- Private: Everything is processed offline. Intrinsically HIPAA and GDPR compliant.
- Reliable: Runs...
More information
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?", Rhino infers that the user wants to order a drink with these specifications:...
More information
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 visualization tools for exploring and analyzing models on Windows platform.
Sometimes when developing generic methods extensions it needs additional generic parameter types, and when any of types can not be inferred then all generic parameter types must be specified.
This library brings IOutParam<out T> interface and OutParam class to help developers create...
More information