LostTech 

Package Description

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

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. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary... More information

Provides XML serializer for LostTech.App.Settings

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

Abstracts key-value stores

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

Provides Azure-based implementations for LostTech.Storage abstractions

Type-level integers for C#/.NET

Provides file system implementations for LostTech.Storage abstractions

Extensibility library and tools for Stack window manager

Symbolic link management

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

Package Description

Provides some data binding basics

Enables LostTech.TensorFlow licensing via Azure Subscription

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, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with... More information

.NET bindings for Unity ML Agents