Made-With-ML
zero-to-mastery-ml
Our great sponsors
Made-With-ML | zero-to-mastery-ml | |
---|---|---|
51 | 126 | |
35,291 | 2,528 | |
- | - | |
6.8 | 8.3 | |
4 months ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Made-With-ML
-
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
-
MLops Resources
madewithml
- Resources for Current DE Interested in Learning Data Science
-
Mlops roadmap
Good Reference: https://github.com/visenger/awesome-mlops (The Link above has so many Guides, It's insane) https://madewithml.com/
-
How do you build CI/CD pipelines for ML projects?
You can check this site
-
[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
-
[Q] Any good resources for MLOps?
Made with ML
-
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
zero-to-mastery-ml
We haven't tracked posts mentioning zero-to-mastery-ml yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
mlops-zoomcamp - Free MLOps course from DataTalks.Club
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Copulas - A library to model multivariate data using copulas.
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
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
mlattacks - Machine Learning Attack Series
SBERT-for-Question-Answering-on-COVID-19-Dataset - Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)
fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies
stanford-cs229 - π€ Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford