seai
AI engineering course
Teaches software developers how to build, deploy, and maintain products with machine-learning models.
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
382 stars
21 watching
144 forks
Language: Jupyter Notebook
last commit: over 1 year ago carnegie-mellon-universitycourse-materialseducationmachine-learningsoftware-engineering
Related projects:
| Repository | Description | Stars |
|---|---|---|
| ckaestne/seaibib | An annotated bibliography on software engineering for AI/ML systems | 305 |
 huaizhengzhang/ai-system-school | A curated collection of research papers, articles, and resources on machine learning systems, including design principles, infrastructure, and best practices. | 2,690 |
 cylance/introductiontomachinelearningforsecuritypros | A collection of examples and code snippets teaching machine learning concepts to security professionals through hands-on Python projects | 150 |
 josephmisiti/machine-learning-module | A collection of machine learning tutorials and lectures from Professor M. A. Girolami's 2006 course. | 465 |
 shimengjie/machine-learning-andrew-ng | An implementation of machine learning algorithms from Andrew Ng's Coursera course in MATLAB | 181 |
 miesnerjacob/learn-prompting | A comprehensive resource for learning prompt engineering techniques for interacting with large language models. | 33 |
 h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 484 |
 ist-dresden/composum-ai | Provides AI-powered content creation and analysis services integrated into Adobe Experience Manager and Composum Pages | 3 |
 kenza-ai/sagify | Simplifies machine learning workflows on AWS SageMaker by providing a unified interface to leverage large language models | 435 |
 antoniogarrote/clj-ml | A Clojure library for machine learning built on top of Weka and friends | 148 |
 sahith02/machine-learning-algorithms | A comprehensive resource for machine learning and deep learning algorithms | 292 |
 sassoftware/enlighten-apply | Provides code and materials to apply SAS machine learning techniques in software development | 126 |
 johnowhitaker/aiaiart | Provides course materials and code examples for teaching AI art concepts using various machine learning techniques | 567 |
 kubeflow/katib | Automated machine learning on Kubernetes using a framework-agnostic approach | 1,509 |
 ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,434 |