{"repo":"GokuMohandas/Made-With-ML","free":true,"listed":false,"github":"https://github.com/GokuMohandas/Made-With-ML","clone":"git clone https://github.com/GokuMohandas/Made-With-ML.git","description":"Learn how to develop, deploy and iterate on production-grade ML applications.","language":"Jupyter Notebook","stars":49113,"topics":["machine-learning","deep-learning","pytorch","natural-language-processing","data-science","python","mlops","data-engineering","data-quality","distributed-ml"],"license":"MIT","category":"machine-learning","readme_excerpt":"&nbsp; Made With ML Design · Develop · Deploy · Iterate Join 40K+ developers in learning how to responsibly deliver value with ML. &nbsp; &nbsp; &nbsp; 🔥&nbsp; Among the top ML repositories on GitHub Lessons Learn how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications. - Lessons: https://madewithml.com/ - Code: GokuMohandas/Made-With-ML Overview In this course, we'll go from experimentation (design + development) to production (deployment + iteration). We'll do this iteratively by motivating the components that will enable us to build a reliable production system. &nbsp; Be sure to watch the video below for a quick overview of what we'll be building. - 💡 First principles : before we jump straight into the code, we develop a first principles understanding for every machine learning concept. - 💻 Best practices : implement software engineering best practices as we develop and deploy our machine learning models. - 📈 Scale : easily scale ML workloads (data, train, tune, serve) in Python without having to learn completely new languages. - ⚙️ MLOps : connect MLOps components (tracking, testing, serving, orchestration, etc.) as we build an end-to-end machine learning system. - 🚀 Dev to Prod : learn how to quickly and reliably go from development to production without any changes to our code or infra management. - 🐙 CI/CD : learn how to create mature CI/CD workflows to continuously train and deploy bet","default_branch":null,"files":null,"tree":[],"storefront":"/r/GokuMohandas","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/GokuMohandas/Made-With-ML/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}