FLAML
Made-With-ML
Our great sponsors
FLAML | Made-With-ML | |
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9 | 51 | |
3,618 | 35,328 | |
2.8% | - | |
8.3 | 6.8 | |
6 days ago | 4 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | 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.
FLAML
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Elevate Your Python Skills: Machine Learning Packages That Transformed My Journey as ML Engineer
4. FLAML
- Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
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what is the future of ML.NET?
Improved AutoML - Again, with collaboration from Microsoft Research, we used FLAML to update our existing AutoML solutions. What does this mean for you? You're using the latest techniques but all you need is a problem to solve and some data to get started.
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Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/FLAML/blob/main/notebook/flaml_automl.ipynb
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
What are some alternatives?
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
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.
nitroml - NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
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