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Based on our record, React Native seems to be a lot more popular than Google Cloud Machine Learning. While we know about 220 links to React Native, we've tracked only 21 mentions of Google Cloud Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
React Native Documentation GitHub Actions Documentation Azure App Service Documentation. - Source: dev.to / 4 days ago
When taking about cross-platform flexibility, Svelte also has Svelte Native like the way React has React Native for mobile app development. - Source: dev.to / 8 days ago
1. React Native: Transition into Mobile Development with React Native, allowing you to reuse JavaScript knowledge. The official React Native documentation is a good starting point. - Source: dev.to / 16 days ago
Enter React, React Native, and Expo. By unifying our development stack, we streamlined our workflow considerably. Yet, one crucial piece was missing: a comprehensive library for essential tasks like icons and components. As we delved further into our development journey, we realized there were more gaps to fill, including robust boilerplates and other essential necessities. - Source: dev.to / 29 days ago
The best option is probably Flutter right now: https://flutter.dev/ If you don't mind writing the UI native, sharing only business logic code, Kotlin is an option: https://kotlinlang.org/docs/multiplatform.html#kotlin-multiplatform-use-cases Kotlin also can do the UI if you use Compose: https://www.jetbrains.com/lp/compose-multiplatform/ ... however, iOS support is still in alpha, and Web is "experimental". If... - Source: Hacker News / about 1 month ago
2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 4 months ago
Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 6 months ago
Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 6 months ago
For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 6 months ago
Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 7 months ago
jQuery - The Write Less, Do More, JavaScript Library.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Flutter - Build beautiful native apps in record time 🚀
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Babel - Babel is a compiler for writing next generation JavaScript.
NumPy - NumPy is the fundamental package for scientific computing with Python