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, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ 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 machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras, estimators and many more APIs. Free for non-commercial use. For licensing options see https://losttech.software/buy_gradient.html !!NOTE!! This version requires Python 3.x x64 to be installed with TensorFlow 2.5.x. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 2.5 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For support email [email protected] . More information in NuGet package release notes and on the project web page: https://github.com/losttech/Gradient . TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Package Description

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

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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 TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras and tf.contrib APIs, including estimators. This preview will expire. !!NOTE!! This version requires Python 3.x x64 to be installed with tensorflow or tensorflow-gpu 1.15. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 1.15 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For on-site/remote support for this preview email [email protected] . More information in NuGet package release notes and at the project web page: https://github.com/losttech/Gradient .

Symbolic link management

Type-level integers for C#/.NET

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

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Provides XML serializer for LostTech.App.Settings

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Extensibility library and tools for Stack window manager

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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

C# wrapper for IVirtualDesktopManager on Windows 10. You need to include the app manifest in your project so as to target Windows 10.

Enables LostTech.TensorFlow licensing via Azure Subscription

.NET bindings for Unity ML Agents

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Extensions for System.Drawing.Primitives

SIREN neural network (https://vsitzmann.github.io/siren/). Network with sine activations, perfect for neural representations of various signals: images, video, audio. SOTA 2020. See project page for usage example.

A task, that implements INotifyPropertyChanged

F# helpers for Gradient (core component of LostTech.TensorFlow)

C# + TorchSharp implementation of GPT

Provides natively sized (64 bit on x64 and ARM64, 32 bit on x86 and ARM) collections.

Real-Time Object Detection network. TensorFlow-based implementation with support for fine-tuning and training from scratch.

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Raw PInvoke bindings for OpenXR

GPT-2 neural network (https://openai.com/blog/better-language-models/). GPT-2 translates text, answers questions, summarizes passages, and generates text output on a level is sometimes indistinguishable from that of humans. A .NET port of open-source artificial intelligence created by OpenAI.

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.NET bindings for OpenAI Gym. Requires actual Python with Gym installed.

F# helpers for LostTech.NumPy

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