.NET for Apache Spark
2 TopicsMachine 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 TV1KViews1like0CommentsWelcome 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)2.5KViews2likes0Comments