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The best alternatives to Machine Learning Playground are Lobe, EC 2, and Data Scraping Studio. If these 3 options don't work for you, we've listed over 30 alternatives below.
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PromotedBest alternatives to Machine Learning Playground
- Lobe is an easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing any code.
- Amazon Elastic Compute Cloud is a part of Amazon.com's cloud-computing platform, Amazon Web Services, that allows users to rent virtual computers on which to run their own computer applications.
- Point and click screen scraping tool using CSS selectors
- We make people who work with data more efficient. From cleaning and transforming data to building custom models and predicting future KPI outcomes, the Akkio platform is the easiest way for businesses to leverage the power AI across their operations.
- Handl provides a flexible API for document capture and data extraction by merging deep learning with human-in-the-loop.
- Datature is the fastest way to build your own computer vision models. Manage datasets, annotate, train, and deploy - we get ALL teams and companies on the right pipeline from day one!
- Evidently helps evaluate and monitor machine learning models in production. The tool generates visual reports on model performance to detect and debug issues. Follow the releases on Github: https://github.com/evidentlyai/evidently
- Neuton is an AutoML SaaS solution that allows experienced users and those without any experience in Machine Learning to build compact AI models with just a few clicks and without any coding. It is based on a proprietary neural network framework.
- Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!
- MakeML is an easy to use MacOS app for iOS devs, who want to try out machine learning in their apps. The app is made in a way that no Python development nor data scientist background are needed. There are 2 model types available for training: Object Detection and Style Transfer.
- Intersect Labs puts the world's most advanced algorithms in your hands with just three clicks. Make machine learning an easy, straightforward part of your workflow.
- Fritz AI is the machine learning platform for iOS and Android developers. Use the Studio to train custom solutions or use our SDK with pre-trained machine learning baked right in.
- Git-based data science. Apply version control machine learning development, make your repo the backbone of your project, and standardize best practices across your team.
- Nexosis provides a public API which allows developers to quickly add machine learning to applications.
- Configure and deploy your own private, hosted API endpoints to process text, images, and other data using state-of-the-art machine learning in a few clicks. Chain together one or more models to efficiently process and extract insights from your data.
- 👋 I'm Emil, a resident at the Google Arts & Culture Lab. I've made a visual directory with Machine Learning artworks and projects. More coming every week!!
- Gauss enables any person with a smartphone and an internet connection to be a data labeler, our mobile app has unlocked a new labeler ecosystem. Our Enterprise Portal allows for Collaborative Data Labeling for Internal Projects across multiple data formats.
- Meeshkan is an automated testing service for your GraphQL API that executes and reports on a collection of dynamically generated tests.
- The Python Package Index (PyPI) is a repository of software for the Python programming language.
- Data labeling is time-consuming and can be very expensive. Lightly tells companies which data to label to have the biggest impact on model accuracy while saving time and costs.
