ckaestne / seaiLinks
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
β430Updated 2 years ago
Alternatives and similar repositories for seai
Users that are interested in seai are comparing it to the libraries listed below
Sorting:
- Software Engineering for AI/ML -- An Annotated Bibliographyβ328Updated last year
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β264Updated 2 years ago
- Software Architecture for ML engineersβ410Updated 3 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β209Updated 3 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.β607Updated 2 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β612Updated 2 years ago
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β201Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021β448Updated 3 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.β340Updated 3 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.β473Updated last month
- Machine Learning System Designβ59Updated 3 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.β1,169Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD courseβ407Updated 3 years ago
- A collection of useful resources for Machine Learning System Designβ66Updated 4 years ago
- Interview Questions and Answers for Machine Learning Engineer roleβ120Updated 2 months ago
- Full Stack Deep Learning Online Courseβ899Updated 3 years ago
- Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zoβ447Updated last week
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β115Updated last year
- π€ A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!β288Updated 8 months ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.β1,294Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.β469Updated 2 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learningβ177Updated 4 years ago
- This is a repository for all workshop related materials.β224Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).β96Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ237Updated 2 years ago
- Infrastructuresβ’ for Machine Learning Training/Inference in Production.β421Updated 6 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to sβ¦β183Updated 3 years ago
- β344Updated 4 years ago
- π§ Material for the Deep Learning Study Groupβ394Updated 3 years ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β148Updated last year