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- Alternatives
The best alternatives to Chitra are Lobe, Google Pixel, and EC 2. If these 3 options don't work for you, we've listed a few more alternatives below.
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PromotedBest alternatives to Chitra
- 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.
- Google's new phones, Pixel and Pixel XL
- 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.
- 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.
- 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.
- Discover and share the right machine learning model for every problem, project, or application. ModelDepot is a place where you can find and share optimized, pretrained ML models that are perfect for your development needs.
- 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.
- If you're looking for image datasets to use with this, check out https://www.producthunt.com/posts/download-image-datasets
- An exclusive opportunity for data scientists to improve their propensity models with ML-ready network-powered Signals. These Signals provide cross-industry insights and are easily appended to your datasets to create more powerful models, quicker.
- PerceptiLabs is a drag and drop visual modeling tool to build, train and tune your ML model, with a portal to actually see how your model works.
