msaroufim / ml-design-patternsLinks
Software Architecture for ML engineers
☆413Updated 3 years ago
Alternatives and similar repositories for ml-design-patterns
Users that are interested in ml-design-patterns are comparing it to the libraries listed below
Sorting:
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆240Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆621Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆870Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆478Updated last year
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 4 months ago
- Kaggle Pipeline for tabular data competitions☆206Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 4 months ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆296Updated 11 months ago
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- 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
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆83Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Compilation of high-profile real-world examples of failed machine learning projects☆737Updated last year
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆608Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last month
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- All about the fundamental blocks of TF and JAX!☆276Updated 3 years ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆464Updated last year
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆442Updated 3 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆484Updated 4 months ago
- An ongoing list of pandas quirks☆980Updated 2 years ago