superlinear-ai / awesome-machine-learning-engineerLinks
π€ A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!
β297Updated last year
Alternatives and similar repositories for awesome-machine-learning-engineer
Users that are interested in awesome-machine-learning-engineer are comparing it to the libraries listed below
Sorting:
- Software Architecture for ML engineersβ416Updated 3 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β624Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ473Updated 6 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-β¦β482Updated last year
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β202Updated last year
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β264Updated 3 years ago
- Compilation of high-profile real-world examples of failed machine learning projectsβ744Updated last year
- A curated list of articles that cover the software engineering best practices for building machine learning applications.β1,325Updated last year
- Blogs on Machine Learning and Deep learningβ114Updated 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 sβ¦β184Updated 3 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ872Updated 2 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.β489Updated 2 weeks ago
- Educational materials on deep learning by Weights & Biasesβ643Updated 10 months ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β151Updated last year
- Basic and advanced MLflow examples for many ML flavorsβ240Updated last year
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.β229Updated 3 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β183Updated last year
- Code and files to go along with CS329s machine learning model deployment tutorial.β616Updated 3 years ago
- Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022β532Updated 2 years ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ngβ376Updated 2 years ago
- A simple guide to MLOps through ZenML and its various integrations.β187Updated last year
- Software design principles for machine learning applicationsβ375Updated 3 months ago
- Curated list of open source tooling for data-centric AI on unstructured data.β733Updated 2 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are lookβ¦β442Updated last year
- Curated list of technical blogs on machine learning Β· AI/ML/DL/CV/NLP/MLOpsβ286Updated 2 months ago
- π« Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and moreβ444Updated 4 years ago
- CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)β437Updated 2 years ago
- A collection of useful resources for Machine Learning System Designβ71Updated 5 years ago
- Exercises and supplementary material for the machine learning operations course at DTU.β735Updated this week
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.β342Updated 3 years ago