ckaestne / seaiLinks
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
☆441Updated 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 Bibliography☆334Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 4 years ago
- Software Architecture for ML engineers☆414Updated 3 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆616Updated 3 years ago
- A collection of useful resources for Machine Learning System Design☆72Updated 5 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆502Updated 2 months ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 7 months ago
- Machine Learning System Design☆67Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆447Updated 4 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆299Updated last year
- ☆346Updated 5 years ago
- Full Stack Deep Learning Online Course☆910Updated 4 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 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 s…☆184Updated 3 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆637Updated 2 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆343Updated 3 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆605Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 4 years ago
- Annotations of the interesting ML papers I read☆270Updated last week
- 🧠 Material for the Deep Learning Study Group☆394Updated 3 years ago
- Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo☆483Updated 3 months ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- This is a repository for all workshop related materials.☆232Updated last year
- Example of a Cover letter for AI Residency☆80Updated 6 years ago
- Infrastructures™ for Machine Learning Training/Inference in Production.☆434Updated 6 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆488Updated last year
- 📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.☆150Updated 5 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆120Updated last year