AI Solutions for techs and non-techs

Machine Learning and Artificial Intelligence solutions have evolved and are more accessible to companies and individuals without coding.If you are just starting your path in ML, feel free to check out these low-code and no-code platforms

Machine Learning,Predictive Models,artificial intelligenceMakeML
Machine Learning,Predictive Models,artificial intelligence
Create Object Detection and Semantic Segmentation CoreML and TFLite ML Models without code. You can use this models in your mobile (iOS or Android) applications.

MakeML enables iOS developers to implement object segmentation and object detection solutions. Using this tool, you can outline and edit elements not only in photos but also in videos. Create your own datasets, build custom ML models in a few clicks, and integrate your model into your app. This platform also allows you to work with AR without coding in less time and quickly.

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Machine Learning,Predictive Models,artificial intelligenceLobe
Machine Learning,Predictive Models,artificial intelligence
Download the free, easy to use app that helps you train custom machine learning models and ship them in your app.

This ML platform has project templates that are easy to use even for your first ML project. The tool is relatively new, so only image classification is available right now. In the future, its creators also want to launch object detection and data classification templates. However, an image classifier is one of the most useful tools for retailers, advertisers, and business professionals , so be sure to check it out as it requires no coding.

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Machine Learning,Predictive Models,artificial intelligenceH2O AutoML
Machine Learning,Predictive Models,artificial intelligence
H2O.ai | H2O AutoML | Lightning Fast AI with GPUs. H2O4GPU is an open source, GPU-accelerated machine learning package with APIs in Python and R.

H2O is an open-source machine learning platform. It has tools for deploying most widely used machine learning algorithms such as gradient descent, linear regression, deep artificial neural networks, and others. What this platform is famous for is its cutting-edge AutoML. This feature provides for automating the process of building multiple models at once so you can create and test functional ML models even without prior experience or coding knowledge

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Machine Learning,Predictive Models,artificial intelligenceGoogle ML Kit
Machine Learning,Predictive Models,artificial intelligence
ML Kit is a mobile SDK that brings Google's on-device machine learning expertise to Android and iOS apps. Use our powerful yet easy to use Vision and Natural Language APIs to solve common challenges in your apps or create brand-new user experiences

This toolkit was made for Android and iOS developers who want to make their apps more engaging. Its API can be used to implement bar scanning, face detection, image labeling features, and more without having to create an ML model from scratch. All the necessary processing happens on the mobile device of the user in real-time so there is no need for you to worry about setting up and hosting expensive servers.
Optimized for mobile
ML Kit’s processing happens on-device. This makes it fast and unlocks real-time use cases like processing of camera input. It also works while offline and can be used for processing images and text that need to remain on the device.
Built with Google expertise
Take advantage of the machine learning technologies that power Google's own experiences on mobile.
Easy to use and No Code
We combine best-in-class machine learning models with advanced processing pipelines and offer these through easy-to-use APIs to enable powerful use cases in your apps.
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Machine Learning,Predictive Models,artificial intelligenceFritz AI
Machine Learning,Predictive Models,artificial intelligence
Fritz AI is the machine learning platform for iOS, Android, and SnapML in Lens Studio. Train custom solutions or use pre-trained models.
If you are looking for more exciting solutions for iOS and Android apps, you can also check out Fritz AI. It gives you flexibility in how much you want to be invested in ML model development ― you can train custom models in the Studio or use pre-trained models. In the program, you can create or import your own datasets, monitor the model’s performance, and re-train it. If you do Snapchat lens development, this tool will help you add no-code machine learning to your augmented reality filters.
Fritz AI is the machine learning platform for iOS, Android, and SnapML in Lens Studio. Use the model development Studio to train custom solutions, or jump right in with pre-trained models and projects.
Create Datasets
On-device Dataset Collection
Synthetic Data Generation
Dataset Import
Train
Performance Benchmarking
Model Retraining
Model Training
Deploy
Real-world Data Collection
Model Delivery Network
Model Protection
Improve
Real-world Performance Data
Model Delivery Network
Device Analytics

Improve

Create solution without coding

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