LostTech 

Core runtime components for Gradient

.NET bindings for NumPy. Requires the actual Python with NumPy installed.

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4,... More information

Package Description

Package Description

This software is part of Gradient: https://losttech.software/gradient.html

Better way to store your app's settings. Key features: - asynchronous - autosave - data bindable

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with... More information

Symbolic link management

Provides asynchronous checkpoint functionality, such as asynchronous autosave for documents.

Provides XML serializer for LostTech.App.Settings

Type-level integers for C#/.NET

Package Description

Package Description

Extensibility library and tools for Stack window manager

Package Description

Provides Azure-based implementations for LostTech.Storage abstractions

Provides pre-packaged TensorFlow runtime. Simply call LostTech.TensorFlow.PackagedTensorFlow.EnsureDeployed(...).

Provides some data binding basics

Enables LostTech.TensorFlow licensing via Azure Subscription