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The best alternatives to GAUSS AI are ml5js, Machine Learning Playground, and Label Studio . If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to GAUSS AI
- ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other exter...
- A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization. Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today. Feedback is welcome!
- Label Studio is an open source data labeling tool that supports multiple projects, users and data types in one platform. Label Studio can perform different types of labeling with many data formats and integrate with M/L backends.
- 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.
- Lionbridge’s 500,000+ annotators label your text, audio, image, and video data for machine learning. Using our custom-built platform, we can: 🤖 Create chatbot training data 🖼 Label images and video 😍 Build sentiment analysis datasets 👩💻 Source annotators from around the world 💬 Improve machine translation
- All-in-one platform for massive-scale automated and collaborative data labeling. Ango Hub combines the best of automation & collaboration into a plugin based architecture. Annotate and manage all of your unstructured data with AI assistance and custom plugins.
- With onetask, you can label AI training data on large-scale yourself. We combine Weak Supervision and Active Learning, so that you can easily find patterns in your data and only label records by hand that need human cognition.
- Dashup is a tool to make Data Labelling fast and easy. Users can upload a dataset, label the images, and export the labels. We include several AI tools to start automating labeling after just a few examples.
- Labeling AI is a deep learning-based technology that automatically labels (annotates) large amounts of data based on a small amount of pre-labeled data available, with minimal human intervention required only to review the final result.
- Magic Mate aims to bring the recent advancements in generative AI to the general public by meeting them with a usage based pricing model and in the comfort of their most familiar interface - WhatsApp.
- People For AI is a French data labelling company. Using our service, you will obtain high-quality training data for your computer vision, NLP or speech recognition algorithms. Check out our CSR report on our website : peopleforai.com/our-social-impact
- Intelec AI automates building and deploying machine learning models. Our mission is to make Artificial Intelligence available to everyone who needs it.
- Since launching in 2006, Amazon Web Services has been providing world-leading cloud technologies that help any organization and any individual build solutions to transform industries, communities, and lives for the better. As part of Amazon, we strive to be Earth’s most customer-centric company. We work backwards from our customers’ problems to provide them with cloud infrastructure that meets their needs, so they can reinvent continuously and push through barriers of what people thought was possible. Whether they are entrepreneurs launching new businesses, established companies reinventing themselves, non-profits working to advance their missions, or governments and cities seeking to serve their citizens more effectively—our customers trust AWS with their livelihoods, their goals, their ideas, and their data.
