.NET Conference Student Zone 7th Nov 2022
Student Zone, Monday, November 7th Are you a student wanting to learn .NET? We have a pre-conference day with a ton of content you don't want to miss! We will have two sessions, a midday session at 12:00 PM UTC and an evening session at 10:30 PM UTC. Midday session registration Evening session registration Join Our Cloud Skills Challenge and Win Swag http://aka.ms/dotnetstudententryWelcome to the Machine Learning and AI .NET space!
Hello and welcome to the Machine Learning & AI space! Here are some resources you might find useful: ML.NET Documentation: https://docs.microsoft.com/dotnet/machine-learning Samples: dotnet/machinelearning-samples: Samples for ML.NET, an open source and cross-platform machine learning framework for .NET. (github.com) Repository: dotnet/machinelearning: ML.NET is an open source and cross-platform machine learning framework for .NET. (github.com) Model Builder Repository: dotnet/machinelearning-modelbuilder: Simple UI tool to build custom machine learning models. (github.com) Machine Learning Community Standup (filter for Machine Learning in dropdown): .NET Community Standups | .NET Live TV (microsoft.com) .NET for Apache Spark Documentation: http://docs.microsoft.com/dotnet/spark Repository: dotnet/spark: .NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers. (github.com) Tools .NET Interactive Notebooks: dotnet/interactive: .NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before. (github.com) .NET Interactive Notebooks VS Code extension: .NET Interactive Notebooks - Visual Studio Marketplace Visual Studio Notebook Editor extension: Notebook Editor - Visual Studio Marketplace Numerical & Statistical Libraries Math.NET Numerics: Math.NET Numerics (mathdotnet.com) FSharp.Stats: FSharp.Stats (fslab.org) Plotting / Graphic Libraries Plotly.NET: Plotly.NET Deep Learning Libraries TensorFlow.NET: SciSharp/TensorFlow.NET: .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#. (github.com) TensorFlow.Keras: NuGet Gallery | TensorFlow.Keras 0.6.4 TorchSharp: dotnet/TorchSharp: .NET bindings for the Pytorch engine (github.com) DiffSharp: DiffSharp: Differentiable Tensor Programming Made Simple OnnxRuntime: microsoft/onnxruntime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator (github.com)How GitHub Copilot Helps with Test-Driven Development (TDD)
Test-Driven Development (TDD) has been a cornerstone of modern software engineering for decades. By writing tests before implementing functionality, developers ensure better design, maintainability, and fewer bugs. But while TDD is powerful, it can sometimes feel slow or cumbersome, especially when setting up repetitive test structures or boilerplate code. This is where GitHub Copilot, the AI-powered coding assistant, becomes a valuable partner. It doesn’t replace the discipline of TDD, but it can accelerate the process and help developers stay in the flow. https://dellenny.com/how-github-copilot-helps-with-test-driven-development-tdd/Consume Azure Custom Vision ONNX Models with ML.NET
Azure Custom Vision is an image recognition service that lets you build, deploy, and improve your own computer vision models. Custom Vision allows you to specify your own labels and train custom machine models using your data. Custom Vision supports training models for the following tasks: Image classification Object Detection Once you've trained a model, Custom Vision provides you with a variety of formats to export and deploy your model to. One of those formats is the Open Neural Network Exchange (ONNX). ONNX is an open-source format to represent AI models. ONNX models can be used to make predictions with the help of the ONNX Runtime (ORT). The ORT is a runtime for ONNX models which provides an interface for accelerating the consumption / inferencing of machine learning models, integrating with hardware-specific libraries, and sharing models across programming languages and frameworks like PyTorch, Tensorflow / Keras, scikit-learn, Windows ML, ML.NET, and others. ML.NET is an open-source, cross-platform machine learning framework for .NET developers. ML.NET provides a set of APIs that build on the ONNX Runtime. That means you can take models you've exported from Custom Vision and use them inside your .NET applications. Get started with Custom Vision and ML.NET To get started using Custom Vision models with ML.NET Train an image classification or object detection model. Export your model to ONNX Use and reference these sample applications which show how to build an ML.NET pipeline that consumes a Custom Vision ONNX model. Resources What is Custom Vision? ONNX website ONNX Runtime website What is ML.NET?Machine Learning Community Standup - January 18, 2023
Topic: New Year, New Releases Recording Community Links Announcements Announcing ML.NET 2.0 Accelerate ML.NET Training with Intel OneDAL Videos .NET Conf 2022 - Announcing ML.NET 2.0 .NET Conf 2022 - Machine Learning Models with ONNX and .NET .NET Conf 2022 - Deep Learning in .NET Getting Practical with ML.NET Series Pt. 1 - Getting Started with ML.NET Getting Practical with ML.NET Series Pt. 2 - Text Classification with Model Builder Getting Practical with ML.NET Series Pt. 3 - Deploying & Consuming ML Models YOLO v7 .NET sample Jon Wood - What's new in ML.NET 2.0 Livestream - How well can ChatGPT write ML.NET Code? Document Extraction Using ML Blog Posts ODSC: Getting Started with ML.NET New Docs / Updates How to use ML.NET AutoML API Deep Learning Overview Razor Pages Sentiment Analysis Deploy to Azure Functions New Samples / Updates ML.NET 2.0 Samples DirectML ONNX Sample Resources ML.NET Website ML.NET Documentation Machine Learning Notebooks Machine Learning Samples ML.NET Case Studies Feedback We want to hear from you. Do you have topics you'd like to hear more about or have ideas on how we can improve the show? Take a few minutes to fill out our feedback form. Stay Connected Join the Virtual ML.NET Community Discord and the #machine-learning channel on the .NET Development Discord. Find recordings from previous shows on .NET Live TVMachine Learning Community Standup | August 17, 2022
Topic: Introducing SynapseML Recording Community Links .NET Data Hub Machine Learning with ML.NET for Absolute Beginners Plotly C# Bindings NER Announcing SynapseML for .NET Synapse ML Synapse ML GitHub Repo Paper: Large-Scale Intelligent Microservices Mosaic: find artistic connections with deep learning Resources ML.NET Website ML.NET Documentation Machine Learning Notebooks Machine Learning Samples Feedback We want to hear from you. Do you have topics you'd like to hear more about or have ideas on how we can improve the show? Take a few minutes to fill out our feedback form. Stay Connected Join the Virtual ML.NET Community Discord and the #machine-learning channel on the .NET Development Discord. Find recordings from previous shows on .NET Live TVMachine Learning Community Standup | May 11, 2022
Topic: Office Hours YouTube Recording Community Links Normalization - Machine Learning Glossary (ML.NET) Introducing Channel Suggestions (Kliptok) Can ML.NET Save Dr. Who? Probably not, but let's give it a go! ( YouTube) Deep Learning with ML.NET (YouTube) Sound Classification using ML.NET - Practical ML.NET User Group 04/14/2022 (YouTube) Serverless Deep Neural Network(DNN) with Azure Functions and ML.Net (YouTube) Feedback We want to hear from you. Do you have topics you'd like to hear more about or have ideas on how we can improve the show? Take a few minutes to fill out our feedback form. Stay Connected Join the Virtual ML.NET Community Discord and the #machine-learning channel on the .NET Development Discord. Find recordings from previous shows on .NET Live TV.
