This package contains ONNX Runtime for .Net platforms
The IBM.WatsonDeveloperCloud is a core project of Watson SDK in .Net. The other Watson SDK in .Net service packages depend on this package.
IBM.WatsonDeveloperCloud.LanguageTranslator.v2 wraps the Watson Developer Cloud Language Translator service (http://www.ibm.com/watson/developercloud/language-translator.html)
Provides learning algorithms and models for XGBoost regression and classification.
IBM.WatsonDeveloperCloud.PersonalityInsights.v3 wraps the Watson Developer Cloud Personality Insights service (http://www.ibm.com/watson/developercloud/personality-insights.html)
This package contains the default English models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Utilize ML5 Library from c# in Blazor Client.Play with Teachable Machine models or Create a Neural Network model or use a Image Classifier or Sound Classifier or YOLO or COCOSSD model or PoseNet model , visit Github for documentation.
FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget packages.
IBM.WatsonDeveloperCloud.Discovery.v1 wraps the Watson Developer Cloud Discovery service (http://www.ibm.com/watson/developercloud/discovery.html)
IBM.WatsonDeveloperCloud.Assistant.v1 wraps the Watson Developer Cloud Assistant service (http://www.ibm.com/watson/developercloud/assistant.html)
This package contains the default French models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Spanish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Portuguese models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Italian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Czech models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Chinese models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Dutch models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Danish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Norwegian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Catalan models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Russian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Arabic models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Croatian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Polish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
TorchSharp makes PyTorch available for .NET users. libtorch-cuda-11.7-linux-x64 contains components of the PyTorch LibTorch library version 2.0.1 redistributed as a NuGet package with added support for TorchSharp.
This package contains the default Swedish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Latin models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Afrikaans models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Finnish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Indonesian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Japanese models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Irish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Romanian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Turkish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
This package contains the default Ukrainian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
C# Binding for the Apache MxNet library. NDArray, Symbolic and Gluon Supported MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.
IBM.Watson.ToneAnalyzer.v3 wraps the Watson Tone Analyzer service (http://www.ibm.com/watson/developercloud/tone-analyzer.html)
.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.3, libtorch-cuda-11.3-win-x64 or libtorch-cuda-11.3-linux-x64 version 1.10.0.1 to execute.
TorchSharp makes PyTorch available for .NET users. libtorch-cuda-10.2 contains components of the PyTorch LibTorch library version 1.7.0 redistributed as a NuGet package with added support for TorchSharp.
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
WeightedSelector.NET lets you assign weights to a set of choices, then make intelligent decisions based on each choice's proportion of the total weight. This simple concept is useful for machine learning scenarios where choices need to be made based on dynamic factors. Great examples include suggestion engines and game AI. In one of the examples, we implement a game AI that decides between attacking, fleeing, and casting a heal spell based on a dynamic "fear" factor... In 6 lines of code. Free to use under MIT License.
.NET Client for Algorithmia Algorithms and Data API
IBM.Watson.PersonalityInsights.v3 wraps the Watson Personality Insights service (http://www.ibm.com/watson/developercloud/personality-insights.html)