Search Results for "learning"
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351 projects for "learning" with 2 filters applied:
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features, idioms, and good style practices (including linting and PEP8). ... -
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Deep Learning Essay Reading
Read classic and new deep learning papers paragraph by paragraph
Deep Learning Essay Reading repository is a comprehensive collection of machine learning and deep learning research summaries designed to make cutting-edge academic work more accessible. Instead of reading entire dense academic papers, contributors provide structured breakdowns and insights into the most influential research from the past decade, often including explanation highlights and key takeaways. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. ... -
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tinygrad
Deep learning framework
This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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Hacking with Swift
The project source code for Hacking with iOS
...It contains a large collection of example projects, exercises, and complete applications that guide learners from beginner to advanced levels. The repository is structured into different learning tracks, including UIKit-based development and modern SwiftUI approaches, allowing developers to explore multiple paradigms within the Apple ecosystem. Each project is designed to reinforce specific concepts such as UI design, data handling, animations, and app architecture. The material emphasizes hands-on learning, encouraging users to build real applications rather than passively consume theory. ... -
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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. -
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Android Developer Roadmap
The Android Developer Roadmap offers comprehensive learning paths
Android Developer Roadmap suggests learning paths to understanding Android development. The Android Developer Roadmap is designed to give you a comprehensive understanding of the current Android ecosystem and provides suggested learning paths along the way to help you grasp the concepts. Each node indicates concepts of Android systems, Android SDK, and generally used libraries. -
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stdlib
Standard library for JavaScript and Node.js
A standard library for javascript and node.js. High performance, rigorous, and robust mathematical and statistical functions. Build advanced statistical models and machine learning libraries. Plotting and graphics functionality for data visualization and exploratory data analysis. Analyze and understand your data. Comprehensively tested utilities for application and library development. Functions to assert, group, filter, map, pluck, and transform your data both in browsers and on the server. Everything you would expect from a modern standard library. ... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Leemons
The Powerful, user-friendly, open source Learning Experience platform
The ultimate open source learning platform. The only tool that supports the most successful teaching methodologies: is project-based learning, role-playing, cooperative, flipped classroom, design thinking, etc. Turn your institution into an innovative space for knowledge exploration and construction. Make it easier for students and teachers to interact about their activities. -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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Three.js Skills for Claude Code
Collection of Three.js skill files
...The project functions as a toolbox of practical snippets and guided examples that bridge the gap between reading documentation and building interactive 3D elements such as animated objects, interactive visualizations, and immersive web experiences. Its structured approach supports developers ranging from beginners just learning the Three.js API to more experienced coders aiming to implement sophisticated materials or shader effects. -
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Python-Spider
Python3 web crawler practice
Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe concurrency or scheduling to crawl multiple pages, and techniques to handle common web-scraping issues. ... -
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Software Engineering Blogs
A curated list of engineering blogs
...The project is continuously updated by the community, ensuring that the content remains relevant and reflective of current industry practices. It acts as a valuable learning resource for developers who want to stay informed about real-world engineering challenges and solutions implemented by major organizations. The repository also highlights trends and best practices, providing insights into how modern systems are built and maintained at scale. -
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Computer Science courses video lectures
List of Computer Science courses with video lectures
...For self-taught engineers, graduates, or career-changers, this repository acts as a roadmap: pick courses, follow them, mark completion, and build a depth of theoretical foundation. It’s especially useful when mapping out a learning path rather than relying on a single bootcamp or video series. -
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glsl-sandbox
Shader editor and gallery
GLSL Sandbox is an in-browser playground for writing and sharing fragment shaders with instant visual feedback. It provides a minimal editor and a fullscreen WebGL viewport so your shader takes center stage, making it perfect for learning, live-coding, and showcasing visual experiments. The environment injects a small set of uniforms—time, resolution, mouse—so you can animate and interact without boilerplate. A public gallery lets creators browse, fork, and remix shaders, turning the site into a collaborative learning hub. Because everything runs client-side, iteration is fast and portable—just load the page and start typing. ... -
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CPlusPlusThings
Collection of various C++ code samples, utilities, patterns
CPlusPlusThings is a repository collecting various C++ code samples, utilities, patterns, and small example projects. It is less a polished product and more a learning/reference collection of snippets and usages of C++ idioms, data structures, algorithms, utilities, and perhaps tricks or meta-programming exercises. (No prominent README or detailed docs were available from my quick search.) Example implementations of data structures and algorithms. Organized as a learning repository (rather than a production framework). ... -
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100 proyectos de JavaScript
100 JavaScript projects with code and videos for free
...The contribution section invites the community to fork the repo, implement or improve projects, and open pull requests, turning the collection into a collaborative learning space. -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
...It also functions as a guide for both junior developers who want to grow into architects and experienced engineers who seek deeper mastery of system design. By combining educational material with hands-on examples, CodeGuide bridges the gap between theoretical learning and practical application in enterprise-level Java development. -
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IIAB
Internet-in-a-Box, build your own library of Alexandria
Internet-in-a-Box (IIAB) is a “learning hotspot” that brings the Internet's crown jewels (Wikipedia in any language, thousands of Khan Academy videos, zoomable OpenStreetMap, electronic books, WordPress journaling, “Toys from Trash” electronics projects, etc.) to those without Internet. You can build your own tiny, affordable server (an offline digital library) for your school, your medical clinic, your prison, your region, and/or your very own family, accessible with any nearby smartphone, tablet, or laptop. -
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FlutterUnit
All Platform Flutter Experience App
...It includes calculators for multiple unit categories (length, mass, volume, etc.), conversion tools, and UI components demonstrating modular architecture and state management patterns. Ideal for learning Flutter UI & business logic structure. -
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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, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. ... -
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Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. -
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Kedro
A Python framework for creating reproducible, maintainable code
...Puts the "engineering" back into data science because it borrows concepts from software engineering and applies them to machine-learning code. It is the foundation for clean, data science code. -
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Professional Services
Common solutions and tools developed by Google Cloud
Professional Services repository is a collection of real-world solutions, tools, and reference implementations developed by Google Cloud’s Professional Services team to address common enterprise challenges. Unlike simple sample repositories, it focuses on production-oriented use cases such as data pipelines, machine learning workflows, infrastructure automation, and security management. The repository contains a wide variety of projects, including tools for validating data migrations, generating large datasets for testing, building analytics dashboards, and automating policy enforcement in cloud environments. These solutions are intended to serve as blueprints that organizations can adapt and extend for their own needs rather than turnkey products. ...
