ckaestne / seaiLinks
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
☆434Updated 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☆333Updated last year
- Code and files to go along with CS329s machine learning model deployment tutorial.☆610Updated 2 years ago
- Software Architecture for ML engineers☆413Updated 3 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆342Updated 3 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆484Updated 4 months ago
- Full Stack Deep Learning Online Course☆905Updated 4 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆447Updated 3 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆298Updated 11 months ago
- This is a repository for all workshop related materials.☆230Updated last year
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 4 months ago
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆123Updated 2 years ago
- An ongoing list of pandas quirks☆980Updated 2 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
- Machine Learning System Design☆67Updated 3 years ago
- ☆346Updated 5 years ago
- Infrastructures™ for Machine Learning Training/Inference in Production.☆427Updated 6 years ago
- A collection of useful resources for Machine Learning System Design☆71Updated 4 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆477Updated last year
- Source for https://fullstackdeeplearning.com☆1,260Updated 5 months ago
- Annotations of the interesting ML papers I read☆260Updated last week
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆117Updated last year
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆83Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- 🧠 Material for the Deep Learning Study Group☆394Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,316Updated last year