LostTech 

Core runtime components for Gradient

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

FULL TensorFlow 2.5+ 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

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

Package Description

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

Type-level integers for C#/.NET

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

Provides XML serializer for LostTech.App.Settings

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(...).

Managed package that simplifies injection of Detours-based DLLs

Provides some data binding basics