SAS Viya is a cloud native AI, analytic and data management platform supporting teams across the analytics life cycle. It unifies data, analytics and governance, and supports building, validating and deploying AI with governance, fairness and transparency. Deployment options cover cloud, hybrid and on-premises environments.
H2O
H2O is an open-source, distributed, fast, and scalable machine learning platform hosted on GitHub by the h2oai organization. It supports a wide range of machine learning methods including deep learning, gradient boosting, random forest, generalized linear modeling, clustering, dimensionality reduction, rule fitting, support vector machines, stacked ensembles, and automated machine learning.
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0SAS Viya is a cloud native AI, analytic and data management platform supporting teams across the analytics life cycle. It unifies data, analytics and governance, and supports building, validating and deploying AI with governance, fairness and transparency. Deployment options cover cloud, hybrid and on-premises environments.
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0AI for Industrial Design shares insights from National University of Singapore students who explored AI's capabilities for design in a semester course directed by Donn Koh at the university's Division of Industrial Design.
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0Animated AI is a project of animations and instructional videos about neural networks. Its topics cover convolution basics, padding, stride, grouped and depthwise-separable convolution, and pixel shuffle. It is licensed under the MIT License.
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0DataRobot is a unified agent workforce platform for enterprise use. It delivers AI applications and a platform designed to maximize AI impact and minimize business risk, supporting the building, operation, and governance of AI agents. Its offerings include foundational, business, and purpose-built agents, an agentic AI platform, generative AI and predictive AI tools, AI governance and observability features, and industry and function-specific agent solutions.
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Stanford CS336: Language Modeling from Scratch is the official course website for a Stanford class offered in Spring 2026. The course walks students through the process of developing a language model, including data collection and cleaning for pre-training, transformer model construction, model training, and evaluation before deployment. The site provides logistics, schedule, assignments, and course materials.
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0An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
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