Found 219 packages
Amazon Elastic Inference allows customers to attach Elastic Inference Accelerators to Amazon EC2 and Amazon ECS tasks, thus providing low-cost GPU-powered acceleration and reducing the cost of running deep learning inference. This release allows customers to add or remove tags for their Elastic Inference Accelerators.
Run Inference: Added support to run the inference on models. Includes set of APIs for running inference in streaming and non-streaming mode.
Execution engine for the NRules rules engine.
Canonical rules model to define rules for the NRules rules engine.
Fluent DSL for authoring rules in C# with the NRules rules engine.
NRules is an open source rules engine for .NET that is based on the Rete matching algorithm with rules authored in C# using internal DSL.
.NET Wrapper of Paddle Inference library, no native binding, please also install native runtime binding libraries like Sdcb.PaddleInference.runtimes.*
Adds support for basic inferencing from an RDF Schema/Ontology
win-x64 native libs for PaddleInference.
A library which provides a full SPIN implementation using dotNetRDF's Leviathan SPARQL engine
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.
win-x64 native libs for PaddleInference.
Infer rules from worlds
This package includes a version of PaddlePaddle's C inference library, specifically compiled for Apple Silicon processors (ARM64). It ensures smooth operation on CPU, with GPU support not available for OSX ARM in this build. The library is designed to work seamlessly, especially when used with the Sdcb.PaddleInference package, a .NET wrapper for PaddlePaddle. This package aims to provide a hassle-free integration experience for Apple Silicon users. To get started, make sure your development environment is set up correctly. For more information, tips, and the opportunity to contribute to the project, visit our [GitHub repository](https://github.com/grinay/). Please note that while this package is tailored for Apple Silicon, it does not include GPU support for OSX ARM as it is not yet available from the Paddle team.
Inference Studio SDK
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.
linux-arm64 native libs for PaddleInference.
Package Description
Contains Fuzzy logic tools, such as fuzzy sets, linguistic variables and inference systems. This package originated from the AForge.NET Framework and is part of the Accord.NET Framework.
A lightweight, linq-friendly inference library for .NET