Made-With-ML
stanford-cs229
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Made-With-ML | stanford-cs229 | |
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51 | 8 | |
35,291 | 0 | |
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6.8 | 0.8 | |
4 months ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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Made-With-ML
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Recommendation for MLOps resources
Hey, Iβm also working in ML. Hereβs a great resource: https://madewithml.com. Also, check out Noah Giftβs book Practical MLOPs.
- Ask HN: Resource to learn how to train and use ML Models
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MLops Resources
madewithml
- Resources for Current DE Interested in Learning Data Science
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Mlops roadmap
Good Reference: https://github.com/visenger/awesome-mlops (The Link above has so many Guides, It's insane) https://madewithml.com/
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How do you build CI/CD pipelines for ML projects?
You can check this site
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[Advice request] How on earth am I supposed to break into machine learning research as an undergraduate?
Great ways to get some experience in general ML: * https://kaggle.com/learn to up your skill-set, practice a bit, and improve breadth of knowledge in topics like deep learning and computer vision * https://huggingface.co/learn free NLP courses that will really beef up your skillset * https://madewithml.com - robust tutorials for the end-to-end deep learning MLOps process * https://roboflow.com/learn - intro course material and some advanced topics in computer vision; tutorial walkthroughs for model training: https://github.com/roboflow/notebooks
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[Q] Any good resources for MLOps?
Made with ML
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Open-source MLOps Fundamentals Course π
Find all the lessons here β https://madewithml.com/MLOps course repo β https://github.com/GokuMohandas/mlops-courseMade With ML repo β https://github.com/GokuMohandas/Made-With-ML
Hi everyone, Iβm the creator of Made With ML and I wanted to share that V1 of the open-source course is finally complete! We cover topics across data β modeling β serving β testing β reproducibility β monitoring β data engineering + more, all with the goal of teaching how to responsibly develop, deploy and maintain production ML applications.* π Project-based* π‘ Intuition (first principles)* π» Implementation (code)* π 30K+ GitHub βοΈ* β€οΈ 40K+ community* β 49 lessons, 100% open-source
stanford-cs229
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Tracking mentions began in Dec 2020.
What are some alternatives?
cs229-solution - CS229 Solution (summer 2019, 2020).
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
mlops-zoomcamp - Free MLOps course from DataTalks.Club
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University
Copulas - A library to model multivariate data using copulas.
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
awesome-mlops - A curated list of references for MLOps