SkafteNicki / dtu_mlopsLinks
Exercises and supplementary material for the machine learning operations course at DTU.
โ731Updated this week
Alternatives and similar repositories for dtu_mlops
Users that are interested in dtu_mlops are comparing it to the libraries listed below
Sorting:
- ๐ MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.โ315Updated last year
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and featuresโ667Updated 11 months ago
- Learn how to create, develop, and maintain a state-of-the-art MLOps code baseโ582Updated this week
- ๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, buildinโฆโ937Updated last year
- All the available resources to master MLOPS from scratchโ346Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.โ3,197Updated last year
- Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022โ517Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-โฆโ477Updated last year
- โ356Updated last year
- [Book-2021] Practical MLOps O'Reilly Bookโ848Updated 8 months ago
- Start building and deploying Python packages and Docker images for MLOps tasks.โ422Updated 6 months ago
- Kickstart your MLOps initiative with a flexible, robust, and productive Python package.โ1,341Updated this week
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ngโ370Updated 2 years ago
- Educational materials on deep learning by Weights & Biasesโ638Updated 7 months ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.โ1,179Updated 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 sโฆโ183Updated 3 years ago
- Learn by doing: DIY project groups at DataTalks.Clubโ408Updated last year
- Software Architecture for ML engineersโ412Updated 3 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.โ168Updated 11 months ago
- Train and Deploy an ML REST API to predict crypto prices, in 10 stepsโ859Updated last year
- Practical guide to build end-to-end machine learning pipeline and deploy your model in production,โ72Updated 2 years ago
- Machine Learning for Imbalanced Data, published by Packtโ277Updated last week
- Repository with code examples of mlflowโ221Updated 2 weeks ago
- ๐ค A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!โ295Updated 10 months ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.โ226Updated 3 years ago
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.โ240Updated 2 years ago
- Free course that takes you from zero to Reinforcement Learning PRO ๐ฆธ๐ปโ๐ฆธ๐ฝโ1,147Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsโ869Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsโ472Updated 3 months ago
- Machine Learning In Production (MLOps)โ159Updated this week