Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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- reinforcement-learning
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
:metal: awesome-semantic-segmentation
Material de apoio gamificado com resumos, tarefas e links úteis para estudo sobre Versionamento de Código com Git e GitHub.
Open Machine Learning Course
mal - Make a Lisp
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
TranslatedImplement a minimal vue3 model ( Help you learn more efficiently vue3 source code )
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.
Techniques for deep learning with satellite & aerial imagery
An easy and fast way to create a Python GUI 🐍
Data science interview questions and answers
A resource repository for 3D machine learning
TranslatedBook_4_"The Power of Matrices" | Iris Book: From Addition, Subtraction, Multiplication and Division to Machine Learning; now on sale!
Understanding Deep Learning - Simon J.D. Prince
Translated:octocat:The most comprehensive repository of front-end resources on GitHub (including front-end learning, development resources, job interviews, etc.)
Reinforcement learning resources curated
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
A self-paced course to learn Rust, one exercise at a time.
:octocat: Machine Learning for Cyber Security