A course on generative modelling, currently unfinished, with the first approximately five lessons mostly done. It covers topics such as PyTorch basics, representations, CLIP, GANs, sequence modelling and transformers. No prior deep learning knowledge is assumed, though comfort with some Python and Jupyter Notebooks is expected.
LearnClash 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.
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.
Dataiku 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.
Full 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.
Microsoft 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.
An interactive tutorial and introduction to programming with Python for the humanities by Folgert Karsdorp. The book has 10 chapters covering text processing, preprocessing, programming principles, readability computation, authorship attribution, object-oriented programming, information retrieval, a PDF search web application, classification and hierarchical clustering. It expects no prior programming experience. Chapters 5 and 6 are in draft status.
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LearnClash 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.
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.
Dataiku 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.
Full 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.
Microsoft 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.
An interactive tutorial and introduction to programming with Python for the humanities by Folgert Karsdorp. The book has 10 chapters covering text processing, preprocessing, programming principles, readability computation, authorship attribution, object-oriented programming, information retrieval, a PDF search web application, classification and hierarchical clustering. It expects no prior programming experience. Chapters 5 and 6 are in draft status.
