NextNative
NativeExpress
WrapFast
NativeBase
React Native
React Native Seed
TFlearn
Keras
Clarifai
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
Swift Brain
NextNative TFlearnNo features have been listed yet.
NextNative's answer
Because it saves weeks of setup and thousands in development costs. While other tools force you to rebuild your app in another framework, NextNative keeps your existing Next.js codebase 100% intact. Itโs built for developers who want native apps fast, not another learning curve.
NextNative's answer
NextNative is the only boilerplate that lets developers turn Next.js web apps into real iOS and Android apps, without learning React Native or Flutter. It combines Capacitor, Firebase Auth, RevenueCat, and Tailwind in a pre-configured setup, so you can go from code to App Store in a single day. No complex builds. No context switching. Just ship.
NextNative's answer
Web developers, indie hackers, and SaaS founders who already use Next.js and want to launch a mobile version of their product quickly. They value speed, simplicity, and control, not corporate frameworks or bloated SDKs.
NextNative's answer
NextNative started as a personal pain point. After months of building SaaS products in Next.js, I realized that creating mobile versions meant starting from scratch with React Native or Flutter. So I built a solution for myself, a way to wrap my existing Next.js codebase into native apps using Capacitor. It worked so well that other devs started asking for it. Thatโs how NextNative was born.
NextNative's answer
NextNative's answer
Based on our record, TFlearn seems to be more popular. It has been mentiond 2 times since March 2021. 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.
TFLearn โ Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 4 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBIโs, and walkโs are all taken into account and passed through layers. Thereโs no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 5 years ago
NativeExpress - The ultimate React Native & Expo boilerplate with everything you need to build, launch, and monetize your mobile app as fast as possible. Including step-by-step submission guides and all the resources you need to submit your app to the stores
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
WrapFast - Build an AI Wrapper or any iOS app in minutes
Clarifai - The World's AI
NativeBase - Experience the awesomeness of React Native without the pain
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
