TensorFlow.NET: Machine Learning in C#
TensorFlow.NET allows developers to build and run machine learning models in C# and F# using the TensorFlow framework
- •Building AI-driven Windows desktop or mobile apps
- •Developing machine learning models for .NET-based web applications
- •Integrating TensorFlow models into existing C# or F# projects
TF.Graph.Import("path/to/model.pb"); var session = new TF.Session(); var input = TF Placeholder("input:0"); var output = session.Run(new[] { input }, new[] { "output:0" });Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/tensorflow-net && curl -fsSL https://workflowstacks.com/api/skills/tensorflow-net/claude-skill -o ~/.claude/skills/tensorflow-net/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
TensorFlow.NET: Machine Learning in C# is a very large C# project (~166k lines across 1066 code files, plus 118 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit 20 months ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2src/SciSharp.TensorFlow.Redist/README.mdInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/tensorflow-net && curl -fsSL https://workflowstacks.com/api/skills/tensorflow-net/claude-skill -o ~/.claude/skills/tensorflow-net/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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