This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
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This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
TranslatedMathematical modeling, MCM/ICM (American Undergraduate Mathematical Contest in Modeling), CUMCM (China Undergraduate Mathematical Contest in Modeling), Huawei Cup Graduate Mathematical Modeling, CUMCM LaTeX template, MCM/ICM LaTeX template, mathorcup, Electrician Cup (电工杯), Central China Competition (华中赛), APMCM, Shenzhen Cup (深圳杯), Zhongqing Cup (中青杯), East China Cup (华东杯), Shuwei Cup (数维杯), Northeast Three Provinces Mathematical Modeling (东三省数学建模), Certification Cup (认证杯), mathematical modeling books, commonly used MATLAB algorithms, CUMCM judging key points, summary of software, models and algorithms, intelligent algorithms, optimization algorithms, modern algorithms
A list of helpful material to develop using Angular
The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.
A list of D3 libraries, plugins and utilities
:sunglasses: A curated list of awesome MLOps tools
Markdown Cheatsheet for Github Readme.md
A categorized list of C++ resources.
Material for my React Fundamentals Workshop
Super Repository for Coding Interview Preperation
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
📃 White paper for Backend developers
🍦 A well organized & frequently updated collection of apps that support material you design.
The repository host gives no description.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Visualizer for pandas data structures
This repository contains study materials for the **Claude Certified Architect — Foundations** certification.
Translated:book: [Translation] scikit-learn (sklearn) Chinese documentation
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
A collection of useful CloudFormation templates
Bonus materials, exercises, and example projects for our Python tutorials
TranslatedThe Ultimate Guide to Agent Skills: QuickStart, Resources, Features&Toolkit
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy