A guide to MLOps is an open-source tutorial from the Swiss AI Center team that walks engineers and small teams from notebook experiments to production. It covers local training and model evaluation, moving the model to the cloud, serving and deploying, monitoring and maintaining, and labeling data and retraining, using tools such as DVC, Git, GitHub Actions, CML, Docker, BentoML, Fluent Bit, Evidently AI, and Label Studio.
Deep Dream Generator
Deep Dream Generator is an AI image and video generation service. It offers 30+ AI models for text-to-image, video generation, and image editing, with no signup required to start creating. The site also hosts community creations, AI prompts, and a blog.
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A guide to MLOps is an open-source tutorial from the Swiss AI Center team that walks engineers and small teams from notebook experiments to production. It covers local training and model evaluation, moving the model to the cloud, serving and deploying, monitoring and maintaining, and labeling data and retraining, using tools such as DVC, Git, GitHub Actions, CML, Docker, BentoML, Fluent Bit, Evidently AI, and Label Studio.
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0LearnClash is a quiz duel app in which players face a real opponent 1v1 on general knowledge or a chosen topic. Every answer is explained, and missed questions return after 7 days. Duels are turn-based with a 72-hour window per turn. Duels, explanations and missed-question reviews are free, with no ads.
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0Dataiku is described as a platform for AI success that unites people, orchestration, and governance. It brings analytics, models, and AI agents together in a single governed system, with centralized routing, quotas, monitoring, and safety controls for managing LLM providers.
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0Microsoft Azure for Students offers access to cloud services, developer tools and $100 in Azure credits for students to build apps and explore AI and data science. Signup uses a school email, renews yearly while the user is a student, and does not require a credit card.
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0Full Stack Deep Learning offers news, community, and courses for people building AI-powered products. It covers the lifecycle of an AI-powered product, from defining the problem and picking a GPU or foundation model to production deployment and continual learning.
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0Made With ML is an educational resource by Anyscale that teaches how to responsibly design, develop, deploy and iterate on production machine learning applications. Its lessons cover design, data preparation, model training, development, testing, reproducibility and production.
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