Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
- machine-learning
- algorithms
- dotnet
- csharp
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Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Example Firefox add-ons created using the WebExtensions API
A curated list of papers & resources linked to 3D reconstruction from images.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
The list of continuous integration services and tools
How to create modular Elm code that scales nicely with your app
A curated list of awesome network analysis resources.
Quant/Algorithm trading resources with an emphasis on Machine Learning
Example of Modern Domain Driven modularisation of iOS apps
🐋 Docker Cheat Sheet 🐋
These are the sample Bounded Contexts from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Sample apps for Electron
📲 ChatGPT Android demonstrates a Chatbot application using OpenAI's chat API on Android with Stream Chat SDK for Compose.
Compile Time Regular Expression in C++
Code accompanying the book "Machine Learning for Hackers"
An example of how to use the Tilia packages to create great content with VRTK v4.
Tutorial for the Vulkan graphics and compute API
Examples and Tutorials of Event Sourcing in .NET
Lectures on scientific computing with python, as IPython notebooks.
A best practice for tensorflow project template architecture.
A Comprehensive Roadmap to Mathematics