cl-online-learning is a Common Lisp library collecting machine learning algorithms for online linear classification. It implements binary classifiers including Perceptron, AROW, SCW-I, logistic regression with SGD or ADAM, and FTRL-Proximal, plus multiclass approaches such as one-vs-rest, one-vs-one, multiclass AROW and softmax with FTRL-Proximal. Command line tools are provided as a roswell script, and the package is available from Quicklisp.
ML-Ops is a site about Machine Learning Operations. It covers motivation for MLOps, designing ML-powered software, the end-to-end ML workflow lifecycle, three levels of ML-based software, MLOps principles, CRISP-ML(Q), the MLOps Stack Canvas and ML model governance. It describes MLOps as aiming to unify the release cycle for machine learning and software.
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.
AI 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.
Animated 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.
DataRobot 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.
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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ML-Ops is a site about Machine Learning Operations. It covers motivation for MLOps, designing ML-powered software, the end-to-end ML workflow lifecycle, three levels of ML-based software, MLOps principles, CRISP-ML(Q), the MLOps Stack Canvas and ML model governance. It describes MLOps as aiming to unify the release cycle for machine learning and software.
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.
AI 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.
Animated 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.
DataRobot 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.
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.
