Search Results for "learn study"
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43 projects for "learn study" with 1 filter applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Machine Learning Study
This repository is for helping those interested in machine learning
Machine Learning Study is an educational repository containing tutorials and study materials related to machine learning and data science using Python. The project compiles notebooks, explanatory documents, and practical code examples that illustrate common machine learning workflows. Topics covered include supervised learning algorithms, feature engineering, model training, and performance evaluation techniques. -
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Ai-Learn
The artificial intelligence learning roadmap compiles 200 cases
Ai-Learn is an open-source artificial intelligence learning roadmap that aggregates educational materials, tutorials, and practical projects designed to help beginners study AI and machine learning systematically. The repository was created to help learners start self-study programs in artificial intelligence without getting overwhelmed by the large number of available resources. -
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Learn AI Engineering
Learn AI and LLMs from scratch using free resources
Learn AI Engineering is a learning path for AI engineering that consolidates high-quality, free resources across the full stack: math, Python foundations, machine learning, deep learning, LLMs, agents, tooling, and deployment. Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills. It mixes courses, articles, code labs, and videos, emphasizing materials that teach both concepts... -
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Learn Regex The Easy Way
Learn regex the easy way
Learn Regex The Easy Way is a hands-on, interactive resource for learning regular expressions (regex) in a step-by-step, incremental way. Rather than just being a reference sheet, it is designed to help you build understanding gradually: you start with the basics like literal matching, then advance through character classes, quantifiers, groups, alternation, lookaheads/lookbehinds, and more advanced regex features. Each lesson is accompanied by examples and clear explanations, so learners... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Coding Interview University
A complete computer science study plan to become a software engineer
Coding Interview University is a multi-month self-study plan that grew from a short personal to-do list into a comprehensive roadmap for preparing technical interviews at large software companies. The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. ... -
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System Design
Learn how to design systems and prepare for system design interviews
...The materials are geared toward clarity and repeatability, making it useful both for self-study and for quick review before interviews. It emphasizes the why behind design decisions, not just a list of components, so you can explain tradeoffs under constraints like cost, latency, reliability, and growth. Overall, it functions like a practical playbook for learning how large systems are composed, where they fail, and how to reason about improvements. -
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English-level-up-tips
An advanced guide to learn English which might benefit you a lot
English-level-up-tips is a comprehensive open-source guide designed to help learners improve their English language skills across a broad range of competencies, from vocabulary and grammar to listening, speaking, reading, and writing. Structured as a language learning tutorial, the project aggregates tips, strategies, explanations, and resources that go beyond simple phrase lists, encouraging learners to develop a deep understanding of how English works and how to use it effectively. The... -
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Changelog.com
Changelog makes world-class developer pods
...The app powers the site’s content publishing, episode distribution, and user interactions, including subscriptions and comments. It emphasizes maintainability and transparency, with clear code structure, tests, and CI/CD workflows. Because the repository is open, developers can study its architecture to learn how Phoenix is used in practice for a high-traffic, media-centric website. It also showcases integration with external services for things like audio hosting, search, and analytics, making it an instructive case study for full-stack Elixir development. -
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System Design Primer
Learn how to design large-scale systems
...The repository also contains study guides for short, medium, and long interview timelines, allowing learners to focus on both breadth and depth depending on their preparation needs. In addition, it includes flashcard decks designed to reinforce learning through spaced repetition, making it easier to retain key system design knowledge. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Marksheet
Free tutorial to learn HTML and CSS
MarkSheet is a beginner-friendly curriculum for learning HTML and CSS from first principles, organized as a readable online handbook. It explains core building blocks—elements, attributes, selectors, the box model, positioning—and connects them to the mental models needed for real layouts. The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. It includes diagrams and compact examples that illustrate... -
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handson-ml3
Fundamentals of Machine Learning and Deep Learning
handson-ml3 contains the Jupyter notebooks and code for the third edition of the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. It guides readers through modern machine learning and deep learning workflows using Python, with examples spanning data preparation, supervised and unsupervised learning, deep neural networks, RL, and production-ready model deployment. The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on... -
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Super comprehensive deep learning notes
Super Comprehensive Deep Learning Notes
Super comprehensive deep learning notes is a massive and well-structured collection of deep learning notebooks that serve as a comprehensive study resource for anyone wanting to learn or reinforce concepts in computer vision, natural language processing, deep learning architectures, and even large-model agents. The repository contains hundreds of Jupyter notebooks that are richly annotated and organized by topic, progressing from basic Python and PyTorch fundamentals to advanced neural network designs like ResNet, transformers, and object detection algorithms. ... -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides,... -
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Hello Git & GitHub
Tutorial repository designed to teach how to use the Git vc system
Hello-Git is a tutorial repository designed to teach how to use the Git version-control system and the GitHub platform from the ground up, aimed at beginners. The course spans around 5 hours of instruction and covers more than 25 Git commands along with GitHub workflows, installation/configuration, terminal usage, branching, merging, collaboration, and authentication. It is structured to introduce learners not only to the syntax of Git commands but also to development workflows such as... -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. By the end, participants can build end-to-end ML experiments, interpret outputs, and iterate with confidence rather than just copying code. -
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CSS Inspiration
Curated collection of interesting, creative, or inspiring CSS effects
...The collection ranges from micro-interactions and loaders to 3D transforms, complex backgrounds, hover states, and text effects, each presented as a small, self-contained demo. Source code is front and center, encouraging developers to study, copy, and tweak snippets for their own projects. Many examples lean on contemporary features—custom properties, filters, blend modes, gradients, and keyframes—serving as both inspiration and a practical cookbook. Because each demo focuses on a single idea, it’s an effective way to learn new techniques without wading through a full framework. ... -
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Deep-Learning-Interview-Book
Interview guide for machine learning, mathematics, and deep learning
Deep-Learning-Interview-Book collects structured notes, Q&A, and concept summaries tailored to deep-learning interviews, turning scattered study into a coherent playbook. It spans the core math (linear algebra, probability, optimization) and the practitioner topics candidates actually face, like CNNs, RNNs/Transformers, attention, regularization, and training tricks. Explanations emphasize intuition first, then key formulas and common pitfalls, so you can reason through unseen questions... -
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Resurrecting Project in LinUtil
Automated Arch Linux Install
Resurrecting Project in LinUtil is an automated Arch Linux installation project created by Chris Titus that wraps Arch’s traditionally manual install process in a guided script. It aims to make Arch more approachable by handling tasks like disk partitioning, base system installation, and desktop environment selection through a menu-driven interface. The repository includes configuration presets and scripts that not only install the system but also set up a curated software stack and sensible... -
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RSC Explorer
A tool for people curious about the React Server Components protocol
...This makes it useful for educators, workshop leaders, and engineers who want to demystify RSC mechanics without relying on framework-specific abstractions. In practice, it functions like a “packet analyzer” for RSC, turning a normally opaque stream into something you can study and explain. -
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StudXY --> CramX
AI-Powered Study Suite for Smarter Learning & Better Grades
CramX is an all-in-one AI-powered study suite designed to help students learn faster, write better, and score higher. It combines advanced AI tools for essay writing, homework help, plagiarism checking, flashcard generation, and test preparation — all within a clean, distraction-free interface. ✍️ AI Writer – Create essays and research papers with real citations. 🧮 AI Homework Helper – Get step-by-step problem solutions -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. -
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EJE (Everyone's Java Editor)
Learn Java the easy way!
EJE is a simple Java editor, perfect to learn Java, without learning a complex development tool. EJE is multi-platform (written in Java), light- weight, user-friendly and have several useful basic features. A good help to start with Java! Supports the study of the Java for Aliens book (www.javaforaliens.com), or other my books (Italian Language) like www.nuovojava.it. You don't need to install the JDK anymore (the runtime is embedded). -
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Laravel Learning Path
The ordered list of Laravel topics to learn, step-by-step
Laravel Roadmap Learning Path is a structured learning guide for developers who want to grow from beginner to more advanced Laravel work. It organizes Laravel topics by experience level so learners can understand what to study first and what to approach later. The roadmap includes links to official documentation, videos, articles, and courses for each topic. It is useful for self-taught developers who want direction instead of jumping randomly between tutorials. It also helps teams define... -
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It... -
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Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional...