Search Results for "language learn"
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Showing 72 open source projects for "language learn"
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the art as of 2025. ... -
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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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ThePrimeagen's init.lua
Neovim configuration repository
...Because the repository captures a historical commit log with explanations of changes, readers can trace decisions and learn how different configuration elements interact. -
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Aprendiendo React
A course to learn React
Aprendiendo React is a project-based React course repository aimed at teaching React from scratch in Spanish, with a strong emphasis on building real applications. The README links each module to a corresponding YouTube class, covering topics such as React basics, hooks like useState and useEffect, data fetching and custom hooks, advanced hooks (useRef, useMemo, useCallback, useContext, useReducer, useId), routing, lazy loading, and React with TypeScript. The code is organized into a... -
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Docker-Zero-to-Hero
Repo to learn Docker with examples
...The style is beginner-friendly and frequently uses analogies and screenshots to make abstract concepts more relatable, for instance contrasting the size of an Ubuntu container image to a full VM. The repo also links to a full YouTube playlist, so you can learn via video while using the GitHub materials as a companion guide. -
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Coding Interview University
A complete computer science study plan to become a software engineer
...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. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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GSY Flutter Book
Flutter complete development practical explanation series
...The repository also shows how to structure a learning project with chapters, code folders, and eventually live sample apps. Because it is community-maintained, readers can open issues, review code, and learn from how the examples evolve. -
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. ... -
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Elixir Koans
Elixir learning exercises
...By debugging and filling in missing pieces, users gain practical, hands-on experience while reinforcing theoretical knowledge. The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. Its design emphasizes discovery, experimentation, and reflection, making it a powerful tool for deepening understanding of Elixir’s unique paradigms. -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The... -
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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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LWT ◆ Learning With Texts [Official]
A feature-rich web application for language learning through reading
LWT is a tool for Language Learning, inspired by: - Stephen Krashen's principles in Second Language Acquisition, - Steve Kaufmann's LingQ application, and - ideas from Khatzumoto - published at AJATT - All Japanese All The Time. You define languages you want to learn and import texts you want to use for learning. While listening to the audio (optional), you read the text, save, review and test words or multi-word expressions. -
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Statistics101 - Resampling Statistics
Use simulation to perform statistical analyses.
Statistics101 is an Integrated Development Environment (IDE) that uses a simple, powerful language called “Resampling Stats” to develop Monte Carlo programs to analyze and solve statistical problems. The original Resampling Stats language and computer program were developed by Dr. Julian Simon (https://www.juliansimon.com/) and Peter Bruce (https://www.scientificamerican.com/author/peter-bruce/) as a new way to teach Statistics to social science students. -
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Java Tutorial
A Java Tutorial by examples
Learn Java by writing real and usefull small applications. This tutorial teach you not only the language; documentation, bug-fixing and simple version control are also faced. The tutorial is in italian language. -
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Audiographs
Math Accessibility Tool for Visually Impaired
...The user enters the function formula and can very easily hear its audio representation. The application is interactive and this gives the user the possibility to study the function in multiple ways. The best way to learn using the application is to use the documentation which offers a step by step guide. It is freely available under the open software license and users who want a feature or a new language to be added can contact the developer. -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
...For those who are interested in knowing what this book covers in general, I’d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses on deep learning, including applications to natural language processing and computer vision. -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
...This will not cover all things DevOps but it will cover the areas that I feel will benefit my learning and understanding overall. What is and why do we use DevOps. Learning a Programming Language. Knowing Linux Basics. Understand Networking. Stick to one Cloud Provider. Use Git Effectively. Automate Configuration Management. Learn Infrastructure as Code. And much more! -
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Spring Boot Learning
Spring Boot Tutorial Source Code
...The repository also includes multi-module projects and Docker integration. It serves as practical reference code for developers who want to learn Spring Boot by running and modifying focused examples. -
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HSKinter
Chinese Words Study (HSK 1–5) on Desktop and Phone
A Python/Tkinter tool to learn 2500 Mandarin words (HSK 1–5). Flashcards, practice of hanzi meaning, pinyin and tones, stats of accuracy. Optional pronunciation via gTTS (Google). Compatible with Pydroid 3 (runs on Android). The frequency of a word showing up depends on its retaining level and time since the last answer (age). -
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FFmpeg libav tutorial
FFmpeg libav tutorial
FFmpeg libav tutorial, learn how media works from basic to transmuxing, transcoding and more. Most of the code in here will be in C but don't worry: you can easily understand and apply it to your preferred language. FFmpeg libav has lots of bindings for many languages like python, go and even if your language doesn't have it, you can still support it through the ffi (here's an example with Lua). -
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PSKoans
A simple, fun, and interactive way to learn the PowerShell language
PSKoans is an interactive, educational PowerShell module that teaches core PowerShell concepts via Pester test-driven “koans” (small exercises that initially fail and must be fixed). Designed for beginners to learn PowerShell through hands‑on problem solving, it guides users through basic syntax, data structures, and automation tasks. -
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Freebasic Beginners Guide
An updated Beginners guide to FreeBASIC
The purpose of this project is to create and update a beginners guide to FreeBASIC. Over the years I have noticed that there was only three real ways to learn FreeBASIC. The FreeBASIC Documentation, the FreeBASIC Community Forum, and A old beginners guide written by Richard D. Clark and Ebben Feagan. Each of these sources are great, but they all assume some experience with a programming language. This Project is taking Richard D. Clark's and Ebben Feagan's "A Beginner's Guide to FreeBasic" and is editing, updating, reorganizing, and simplifying this guide. ... -
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Essential Netty in Action
It is a book about the Essentials of Norman Maurer's Netty in Action
Essential Netty in Action is a Chinese-language condensed guide based on an early edition of Norman Maurer's Netty in Action. It was created to help developers learn the framework more quickly through selected explanations and added diagrams. The material is organized into getting started, Netty by example, core functions, and advanced topics. It explains asynchronous networking concepts, channels, event loops, pipelines, handlers, bootstrapping, codecs, and transport behavior. ... -
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Unwrap
Learn Swift interactively on your iPhone
Unwrap is a Swift-based macOS application designed to help developers and learners improve their Swift programming skills through interactive challenges and structured lessons. Created as a companion to educational content, it focuses on teaching fundamental and advanced concepts in a hands-on manner. The app presents exercises that require users to write and refine Swift code, reinforcing understanding through practice rather than passive learning. It covers a wide range of topics,... -
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3D Game Shaders for Beginners
A step-by-step guide to implementing SSAO for 3D games
...Below is a collection of shading techniques that will take your game visuals to new heights. I've explained each technique in such a way that you can take what you learn here and apply/port it to whatever stack you use—be it Godot, Unity, Unreal, or something else. For the glue in between the shaders, I've chosen the fabulous Panda3D game engine and the OpenGL Shading Language (GLSL). So if that is your stack, then you'll also get the benefit of learning how to use these shading techniques with Panda3D and OpenGL specifically.
