OnnxSharp 0.3.2

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. 
dotnet add package OnnxSharp --version 0.3.2
                    


                    

                
NuGet\Install-Package OnnxSharp -Version 0.3.2
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
For projects that support PackageReference, copy this XML node into the project file to reference the package. 

                    


                            Directory.Packages.props
                        

                    

                

                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add OnnxSharp --version 0.3.2
                    


                    

                
#r "nuget: OnnxSharp, 0.3.2"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package OnnxSharp@0.3.2
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=OnnxSharp&version=0.3.2
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=OnnxSharp&version=0.3.2
                    


                            Install as a Cake Tool

ONNX format parsing and manipulation in C#.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (10)

Showing the top 5 NuGet packages that depend on OnnxSharp:

Package Downloads
Fuuga.cpu

Large Language Model (LLM) generator. And Small as well, SML. Give data and generate your model. Fuuga implements a complete language model pipeline: tokenization, data ingestion, model training, fine-tuning, and text generation. Code in .NET (F#).
Fuuga

Large Language Model (LLM) generator. And Small as well, SML. Give data and generate your model. Fuuga implements a complete language model pipeline: tokenization, data ingestion, model training, fine-tuning, and text generation. Code in .NET (F#).
Lokad.Onnx.Backend

A C# ONNX backend implementation.
VaultForce.MLService

shared resources
DeepSharp.Import.Onnx

Reads an ONNX graph into a DeepSharp network: the one PyTorch's torch.onnx.export writes, by either of its exporters, the one Keras writes with model.export(format="onnx"), or the one tf2onnx converts a TensorFlow SavedModel into. A stack of dense layers — a Gemm, or a MatMul and the Add of its bias — convolutions, batch and layer normalisations, flattens and activations is lowered onto DeepSharp's layers as DeepSharp's words build them, the loss it answers through handed in. The numbers go in turned as each node declares them — a weight matrix outputs by inputs where Gemm says so, a kernel channels first, an image's values flattened channel by channel — and images go in and come out with their channels last, as TensorFlow's already are; they are widened from half precision, rounded from double, read from the file the exporter keeps beside the graph, strictly, every fault named at once where the graph holds it. A branch, and any node no network here is built of — pooling, a stride of its own for each axis, a dilated window, channels in groups — is refused at its node.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on OnnxSharp:

Repository Stars
dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
Version Downloads Last Updated
0.3.2 33,308 1/16/2025
0.3.1 240 1/15/2025
0.3.0 8,424 9/17/2024
0.2.1 9,684 6/13/2023
0.2.0 22,799 3/20/2021
0.1.1 637 2/16/2021
0.1.0 706 1/24/2021