Large scale Gaussian Mixture Models.
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Generative AI Explained by NVIDIA is an educational course offered by NVIDIA focused on generative AI. The course includes learning objectives, a list of covered topics, a full course outline, and related training resources. It provides public virtual workshop options structured as six 2-hour sessions, and offers private team or individual training upon request.
Generative AI For Beginners is a Microsoft-hosted educational resource on GitHub, structured as a 21-lesson course for learning to build generative AI applications. The resource offers multi-language support and is designed for individuals new to generative AI development.
Supports teaching, studying or skills practice with AI-guided learning tools.
getdesign.md is a collection of DESIGN.md files containing independent design system analyses of popular websites. These files serve as design references for AI coding agents to ensure consistent visual styling across AI-built projects. It offers a catalog of over 550 public DESIGN.md files, private DESIGN.md creation services, and website and mobile app starter kits.
Course content and resources for the AIAIART course.
GitHub Copilot is an AI coding agent from GitHub that assists across the workflow, from an open issue to reviewing and merging a pull request. It works in the editor, the terminal, on the desktop and on GitHub. Users can assign tasks to Copilot and third-party agents such as Claude by Anthropic and OpenAI Codex.
GitWit is described as an open source, AI-native coding platform intended for building ideas. The site also presents an AI Editor with AI-powered suggestions and real-time collaboration for building, testing, and deploying.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
go-dnn is a GitHub repository that provides deep neural network functionality for the Golang programming language, powered by MXNet. The repository notes an updated version of the project is hosted at a separate GitHub location.
gobrain is an open-source GitHub repository maintained by the goml organization. It implements neural networks in the Go programming language. The repository includes documentation for getting started, recurrent neural network features, a changelog of updates, and project background information.
golearn is an open-source GitHub repository maintained by sjwhitworth. It provides machine learning capabilities for the Go programming language. The repository includes installation instructions, getting started guides, example use cases, and full project documentation.
Google AI Pro for Students is a Google program providing free AI training and tools for students. It offers access to Gemini and Gemini Notebook to support exam preparation, writing improvement, and career development. The program includes resources to help students integrate AI into their study workflows.
Google Cloud Skills Boost - Introduction to Generative AI provides AI-assisted learning, courses, tutorials, or study support.
An offline recommender system backend based on collaborative filtering written in Go.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Grafana is an open-source platform for querying, visualizing and understanding data. Grafana Labs documents a core stack covering metrics, logs and traces across Grafana OSS, Grafana Cloud and Grafana Enterprise, alongside observability, AI, testing and incident response documentation.
Graphite is a code review platform for teams on GitHub. It offers AI code review through Graphite Chat, stacked pull requests, a pull request inbox, a merge queue, and developer metrics. A CLI and VS Code extension support creating and managing stacks. The first 30 days are free.
Gym4ReaL is an open-source GitHub repository maintained by Daveonwave. It is a Gymnasium-based benchmarking suite for testing reinforcement learning algorithms on real-world scenarios. The repository includes documentation on supported characteristics, reinforcement learning paradigms, folder structure, contribution guidelines, and licensing terms.
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.
H2O Sparkling Water is an open-source GitHub repository maintained by the h2oai organization. It provides H2O machine learning functionality that can run inside Apache Spark clusters. The repository includes getting started guides, user documentation, binary download options, and resources for testing the tool.
Hailuo AI is an AI content creation tool developed by MiniMax, featuring its live H3 model. It enables users to generate videos and images from text or photos, and includes tools for video, image, and meme creation tailored for creators and social content. The platform also offers tutorials, open-weight project resources, creative workflows, and credit rewards for completing user surveys.
A hands-on course to train and deploy a serverless API that predicts crypto prices.