Android Studio
Xcode
Microsoft Visual Studio
IntelliJ IDEA
VS Code
Sublime Text
PyCharm
Netbeans
Machine Box
Medallia
DeepAI
Model Zoo
Qualdoโข
MorphL
TensorFlow Lite
Amazon Machine Learning
Android Studio Machine BoxAndroid Studio is recommended for anyone developing Android applications, including individual developers, development teams, students, and educators. It is also well-suited for those who want to leverage Google's developer tools and services in their Android projects.
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Based on our record, Android Studio seems to be a lot more popular than Machine Box. While we know about 178 links to Android Studio, we've tracked only 5 mentions of Machine Box. 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.
They've always offered a bundle of the command line tools separately to Android Studio: https://developer.android.com/studio#:~:text=Command%20line%20tools%20only. - Source: Hacker News / 3 months ago
Android SDK + NDK โ the easiest way is to install Android Studio, which bundles both. Make sure NDK is installed (Android Studio > Settings > SDK Manager > SDK Tools > NDK). - Source: dev.to / 4 months ago
In order to run games we need a virtual machine, Android Studio both developed by Google, goes on hand in hand with Flutter. It provides the ability to create emulators for multiple devices in order to simulate how an application runs on its intended environment with the luxury of being able to edit and run your changes in real time. - Source: dev.to / 5 months ago
Following this Kotlin coroutine codelab, you'll find where to download Android Studio. You'll also find the related github for Kotlin coroutine. Then, by opening the coroutines-codelab folder through Android Studio, you might encounter the following Error. - Source: dev.to / about 5 years ago
IntelliJ IDEA or Android Studio (both are essentially the same). - Source: dev.to / 7 months ago
Reminds me of Machine Box (http://machinebox.io). Source: over 3 years ago
Thank you :) I did that to teach dogโs breed to an AI. If you donโt know machine box yet : Https://machinebox.io It seems really cool and easy to use. Source: almost 4 years ago
I think you should go 5 Pi X 5 Jetson Nanoโs I havenโt seen many people offloading the Nanoโs GPU functionality for ML similar to this Serverless style of product. https://machinebox.io/. Source: almost 5 years ago
For face recognition - CompreFace. Disclaimer - I created it, as an alternative you can use MachineBox, but it's not open source and has limits. Also, I think, you will use some software to control the system, e.g. Frigate or Home Assistant, I think this repository can be useful for you. Source: almost 5 years ago
If you have a really simple application, you can just save the encodings into the files. If not - it's better to use a database. SQL is ok. But for the best results, I would suggest using milvus.io, as it was created for saving vectors and finding the distances (I haven't tried it, though). If your final goal is not to learn face recognition basics, you can just use free ready to use solutions like CompreFace... Source: almost 5 years ago
Xcode - Xcode is Appleโs powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
Medallia - Medallia enables companies to capture customer feedback, understand it in real-time, and take action to improve the customer experience (CX).
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
DeepAI - Easily build the power of AI into your applications
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Model Zoo - Deploy your machine learning model in a single line of code.