Cortex.ML.Torch
1.0.0
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Cortex.ML.Torch --version 1.0.0
NuGet\Install-Package Cortex.ML.Torch -Version 1.0.0
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.
<PackageReference Include="Cortex.ML.Torch" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Cortex.ML.Torch" Version="1.0.0" />
<PackageReference Include="Cortex.ML.Torch" />
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 Cortex.ML.Torch --version 1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Cortex.ML.Torch, 1.0.0"
#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 Cortex.ML.Torch@1.0.0
#: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=Cortex.ML.Torch&version=1.0.0
#tool nuget:?package=Cortex.ML.Torch&version=1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Cortex.ML.Torch
TorchSharp GPU training bridge for Cortex with neural network model support.
Features
- DataFrame to Tensor zero-copy conversion for efficient data loading
- GPU training — CUDA-accelerated model training via TorchSharp
- Built-in neural networks — MLP, CNN, and custom module support
- DataLoader integration — batched, shuffled iteration over DataFrames
- SafeTensors support — save and load model weights in HuggingFace format
Installation
dotnet add package Cortex.ML.Torch
Quick Start
using Cortex;
using Cortex.ML.Torch;
var df = DataFrame.ReadCsv("train.csv");
var dataset = df.ToTorchDataset(labelColumn: "target");
var loader = new DataLoader(dataset, batchSize: 64, shuffle: true);
var model = new MLP(inputDim: 10, hiddenDim: 64, outputDim: 1);
var trainer = new Trainer(model, lr: 1e-3, epochs: 20, device: Device.CUDA);
trainer.Fit(loader);
Links
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net10.0 is compatible. 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. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
net10.0
- Cortex (>= 1.0.0)
- Cortex.ML (>= 1.0.0)
- Cortex.SafeTensors (>= 1.0.0)
- TorchSharp (>= 0.103.1)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.