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The best alternatives to ML Showcase are Apple, Machine Learning Weekly, and Microsoft Azure. If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to ML Showcase
- Machine Learning Weekly is a newsletter with over 8,000 subscribers about machine learning and deep learning, curated in spare time by @alirezasmr to accelerate research.
- Optimize your costs by developing in the cloud. Invent with purpose.
- We offer practical and industry-focused programs that help you learn technical skills, build real-world projects, and advance your career.
- Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can track, compare, explain and reproduce their machine learning experiments.
- 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!
- Develop, train, and deploy AI applications. Join over 500,000 builders on Paperspace.
- 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.
- Bifrost Data Search makes it easy for data scientists, developers and engineers everywhere to find the data you need! Search from almost 2000 open-source datasets with previews and in-depth analysis. 100% free. Proudly brought to you by bifrost.ai.
- Hasty’s data-centric ML platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure – helping you bring value-added services to your product.
- Unweave is Heroku for ML. It gives you instant serverless infrastructure to train your machine learning models. It automatically builds and runs your environment in the cloud, within seconds, while versioning everything you run end-to-end.
- ZIR AI allows organizations to add ML-powered text search to their applications and platforms. Applying the latest research in neural networks and NLP, it returns results that keyword search misses, helping your customers find more relevant information.
- 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.
