https://github.com/GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
https://github.com/GokuMohandas/Made-With-ML
data-engineering data-quality data-science deep-learning distributed-ml distributed-training llms machine-learning mlops natural-language-processing python pytorch ray
Last synced: over 1 year ago
JSON representation
Learn how to design, develop, deploy and iterate on production-grade ML applications.
- Host: GitHub
- URL: https://github.com/GokuMohandas/Made-With-ML
- Owner: GokuMohandas
- License: mit
- Created: 2018-11-05T03:44:27.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2024-08-18T04:34:15.000Z (almost 2 years ago)
- Last Synced: 2024-08-29T03:01:45.708Z (almost 2 years ago)
- Topics: data-engineering, data-quality, data-science, deep-learning, distributed-ml, distributed-training, llms, machine-learning, mlops, natural-language-processing, python, pytorch, ray
- Language: Jupyter Notebook
- Homepage: https://madewithml.com
- Size: 3.82 MB
- Stars: 36,993
- Watchers: 1,224
- Forks: 5,870
- Open Issues: 19
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-learning - Made with ML
- my-awesome - GokuMohandas/Made-With-ML - engineering,data-quality,data-science,deep-learning,distributed-ml,distributed-training,llms,machine-learning,mlops,natural-language-processing,python,pytorch,ray pushed_at:2026-03 star:47.8k fork:7.5k Learn how to develop, deploy and iterate on production-grade ML applications. (Jupyter Notebook)
- awesome-list - Made With ML - Learn how to responsibly develop, deploy and maintain production machine learning applications. (Machine Learning Tutorials / Data Management)
- awesome-github-projects - Made-With-ML - Learn how to develop, deploy and iterate on production-grade ML applications. ⭐47,843 `Jupyter Notebook` ⚡ (🤖 AI & Machine Learning)
- awesome-open-source-ai-tools - GokuMohandas/Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications. (Image Generation & Editing)
- awesome-mlops - Made with ML
- StarryDivineSky - GokuMohandas/Made-With-ML
- awesome-opensource-ai - Made With ML (Goku Mohandas) - End-to-end course on building production-grade ML systems with MLOps fundamentals, from design to deployment and iteration.  (14. Resources & Learning)
- awesome-data-analysis - Made With ML - Resource for building and deploying machine learning applications. (🤖 Machine Learning & AI / Resources)